5 Manager Self Service Jobs nearby Anand

Key Responsibilities: Drive business growth: deposits (Casa, fixed deposits), assets , fee income from third-party products and services. Develop and execute branch business plan, including target setting, forecasting, and tracking. Lead the branch team: hiring, training, mentoring, performance reviews, and motivating staff to achieve targets. Oversee branch operations and ensure process accuracy, security, timely reporting, vault/cash management and risk control. Ensure regulatory compliance: Kyc, Aml,regulatory guidelines, internal audits, risk management. Provide outstanding customer experience: resolve escalations, build relationships with high-value customers, understand customer needs and offer suitable solutions. Monitor local market trends, competitor activity, identify opportunities within branch catchment. Drive digital and self-service migration, optimize cost of operations and cash holdings while ensuring branch profitability. Qualifications & Experience: Graduate  Typically 8-15 years of banking experience, with at least 2-4 years in a branch leadership or senior sales role (for example, managing a branch or large team). What We Offer: An opportunity to lead a key branch in our network with full profit & loss responsibility. Attractive compensation and performancelinked incentives. Opportunities for growth into regional leadership roles. A supportive, collaborative culture that values innovation, customer centricity and compliance. How to Apply: Please submit your resume via email recruiter4.spbcgroup@gmail.com

As an AM- Business Intelligence (BI) Developer at Analytix Business Solutions India Private Limited, you will be responsible for designing, developing, and maintaining advanced business intelligence solutions. You should have expertise in data modeling, visualization, and performance optimization to translate business requirements into actionable insights. Key Responsibilities: - Design and deliver interactive dashboards, self-service BI tools, and data visualizations using platforms such as Power BI, Tableau, or Qlik. - Build and maintain scalable data models (e.g., star and snowflake schemas) with a focus on performance, reusability, and best practices. - Develop and manage complex DAX calculations, measures, and drill-through capabilities to support dynamic reporting needs. - Write, optimize, and maintain SQL queries and stored procedures for data extraction and transformation from multiple sources. Collaborate with data engineers to develop and automate ETL/ELT workflows. - Tune dashboards and backend queries to ensure minimal load times and timely data refresh cycles. - Work closely with business stakeholders to understand reporting requirements and deliver effective technical solutions. - Mentor junior BI developers, enforce BI standards, and contribute to governance frameworks. - Manage BI infrastructure, including workspace administration, row-level security, and deployment pipelines. - Maintain comprehensive documentation of technical workflows, data dictionaries, and dashboard usage guidelines. Qualifications: - Proven experience with BI tools (Power BI, Tableau, Qlik, etc.) - Strong SQL skills and experience with relational databases. - Expertise in DAX and data modeling techniques. - Familiarity with ETL/ELT processes and data pipeline development. - Excellent problem-solving and communication skills. As an AM- Business Intelligence (BI) Developer at Analytix Business Solutions India Private Limited, you will be responsible for designing, developing, and maintaining advanced business intelligence solutions. You should have expertise in data modeling, visualization, and performance optimization to translate business requirements into actionable insights. Key Responsibilities: - Design and deliver interactive dashboards, self-service BI tools, and data visualizations using platforms such as Power BI, Tableau, or Qlik. - Build and maintain scalable data models (e.g., star and snowflake schemas) with a focus on performance, reusability, and best practices. - Develop and manage complex DAX calculations, measures, and drill-through capabilities to support dynamic reporting needs. - Write, optimize, and maintain SQL queries and stored procedures for data extraction and transformation from multiple sources. Collaborate with data engineers to develop and automate ETL/ELT workflows. - Tune dashboards and backend queries to ensure minimal load times and timely data refresh cycles. - Work closely with business stakeholders to understand reporting requirements and deliver effective technical solutions. - Mentor junior BI developers, enforce BI standards, and contribute to governance frameworks. - Manage BI infrastructure, including workspace administration, row-level security, and deployment pipelines. - Maintain comprehensive documentation of technical workflows, data dictionaries, and dashboard usage guidelines. Qualifications: - Proven experience with BI tools (Power BI, Tableau, Qlik, etc.) - Strong SQL skills and experience with relational databases. - Expertise in DAX and data modeling techniques. - Familiarity with ETL/ELT processes and data pipeline development. - Excellent problem-solving and communication skills.

Role Overview: As a Product Manager at our leading B2B platform, you will be responsible for owning the end-to-end product lifecycle. Your role will involve developing a deep understanding of our B2B buyers and sellers, prioritizing product features, working closely with cross-functional teams, and launching new features to enhance the overall user experience. You will also be monitoring product KPIs, driving automation initiatives, and collaborating with marketing and sales for effective product launches. Key Responsibilities: - Own the end-to-end product lifecycle including strategy, roadmap, requirements, execution, and iteration. - Develop a deep understanding of our B2B buyers and sellers, identify their pain points, and create scalable solutions. - Prioritize product features and enhancements based on a data-driven and customer-centric approach. - Collaborate with Engineering, Design, Business, and Operations teams to ensure timely and high-quality delivery. - Launch new features to improve supplier onboarding, buyer experience, lead generation, transaction flow, and retention. - Monitor product KPIs such as engagement, conversion rates, repeat business, and NPS. - Drive automation and digitization initiatives to reduce operational load and enhance self-service capabilities. - Collaborate with marketing and sales teams to effectively roll out product launches. Qualifications: - Bachelor's degree in Engineering, Computer Science, Business, or related fields. MBA is a plus. - 5+ years of product management experience, preferably in a B2B, marketplace, or SaaS environment. - Strong understanding of B2B buyer/seller behavior, wholesale trade dynamics, and digital commerce platforms. - Proven track record in launching and scaling technology products. - Familiarity with analytics tools such as Google Analytics, Mixpanel, and Amplitude. - Experience with Agile development tools like JIRA, Confluence, Trello. - Excellent communication and stakeholder management skills. Why Join Us: - Be a vital part of digitizing India's B2B economy. - Work with passionate teams on meaningful challenges that impact millions of small and medium businesses. - Thrive in a fast-paced, learning-rich environment with real ownership. (Note: Benefits and Schedule details are not included in the Job Description as per request),

You are a leading B2B platform that is transforming how businesses discover, connect, and transact. Just like industry pioneers such as IndiaMART, TradeIndia, Udaan, and Alibaba, you empower millions of SMEs, traders, and enterprises with innovative technology and seamless digital commerce tools. As a Product Manager at our company, you will thrive at the intersection of business and technology, and be deeply passionate about creating scalable, user-centric B2B products. **Key Responsibilities:** - Own the end-to-end product lifecycle including strategy, roadmap, requirements, execution, and iteration. - Develop a profound understanding of our B2B buyers and sellers, identify their pain points, and create scalable solutions. - Prioritize product features and enhancements using a data-driven and customer-centric approach. - Collaborate closely with Engineering, Design, Business, and Operations teams to ensure timely and high-quality delivery. - Launch new features that enhance supplier onboarding, buyer experience, lead generation, transaction flow, and customer retention. - Monitor product KPIs such as engagement, conversion rates, repeat business, and NPS. - Drive automation and digitization initiatives to reduce operational load and enhance self-service capabilities. - Work with marketing and sales teams to effectively roll out product launches. **Qualifications:** - Bachelor's degree in Engineering, Computer Science, Business, or related fields. MBA is a plus. - Minimum of 5 years of product management experience, preferably in a B2B, marketplace, or SaaS environment. - Strong understanding of B2B buyer/seller behavior, wholesale trade dynamics, and digital commerce platforms. - Proven track record in launching and scaling tech products. - Experience with analytics tools such as Google Analytics, Mixpanel, Amplitude. - Familiarity with Agile development tools like JIRA, Confluence, Trello. - Excellent communication and stakeholder management skills. Joining our team will allow you to play a crucial role in digitizing India's B2B economy. You will collaborate with passionate teams to tackle meaningful challenges that impact millions of small and medium businesses, all within a fast-paced, learning-rich environment where you will have real ownership. *Job Type*: Full-time **Benefits:** - Health insurance - Leave encashment - Paid sick time - Paid time off - Provident Fund **Schedule:** - Day shift - Monday to Friday *Work Location*: In person If interested, please speak with the employer at +91 8160197141.,

As a Product Implementation Manager at DXFactor, you will play a crucial role in owning the end-to-end client onboarding journey, translating business needs into agent configurations, ensuring seamless integration with MRMs, and driving adoption and ROI. Your responsibilities will involve being the bridge between product, engineering, and client success to ensure smooth and successful deployments. Key Responsibilities: - Lead kickoff meetings, define implementation plans, and manage timelines for client onboarding and project management. - Act as the primary point of contact during client implementations to ensure effective communication. - Configure and customize AI Agents based on client workflows and deploy them across various touchpoints. - Coordinate with product and engineering teams to resolve technical blockers and ensure smooth data flow between client systems and OMAP. - Deliver training sessions to client teams on self-service dashboards and analytics, and provide documentation for ongoing agent management. - Define success metrics, monitor analytics dashboards post-launch, and recommend optimizations for continued ROI. Qualifications: - 5+ years of experience in SaaS implementations, enterprise onboarding, or customer success. - Strong project management skills using tools like Jira/Asana or equivalent. - Experience working with AI/automation products is preferred. - Excellent client-facing communication and presentation skills. - Ability to thrive in a fast-paced startup environment with multiple priorities. If you join DXFactor, you will have the opportunity to shape the category-defining AI platform in fitness, work closely with leadership and clients across the US & global markets, receive competitive compensation, and have growth opportunities. Additionally, you will be part of a mission-driven culture focused on measurable outcomes. As a Product Implementation Manager at DXFactor, you will play a crucial role in owning the end-to-end client onboarding journey, translating business needs into agent configurations, ensuring seamless integration with MRMs, and driving adoption and ROI. Your responsibilities will involve being the bridge between product, engineering, and client success to ensure smooth and successful deployments. Key Responsibilities: - Lead kickoff meetings, define implementation plans, and manage timelines for client onboarding and project management. - Act as the primary point of contact during client implementations to ensure effective communication. - Configure and customize AI Agents based on client workflows and deploy them across various touchpoints. - Coordinate with product and engineering teams to resolve technical blockers and ensure smooth data flow between client systems and OMAP. - Deliver training sessions to client teams on self-service dashboards and analytics, and provide documentation for ongoing agent management. - Define success metrics, monitor analytics dashboards post-launch, and recommend optimizations for continued ROI. Qualifications: - 5+ years of experience in SaaS implementations, enterprise onboarding, or customer success. - Strong project management skills using tools like Jira/Asana or equivalent. - Experience working with AI/automation products is preferred. - Excellent client-facing communication and presentation skills. - Ability to thrive in a fast-paced startup environment with multiple priorities. If you join DXFactor, you will have the opportunity to shape the category-defining AI platform in fitness, work closely with leadership and clients across the US & global markets, receive competitive compensation, and have growth opportunities. Additionally, you will be part of a mission-driven culture focused on measurable outcomes.

Company:Bajaj Finserv Limited (BFL)Job Title:IT Manager - Compliance, Digital Platforms, Contact Centre COE (CC COE)Reports to:Pranav Chothani Deputy National Lead, Digital Platforms, Contact Centre COE (CC COE)Location:TBD Position Summary:Bajaj Finance sells a host of products across its various verticals through the contact centres, it also services its customers through contact centres. It uses a mix of inbound and outbound centres. Most of this execution is done through the outsourced partners and respective vertical PnL teams work closely with the execution teams. Currently we have over 4500 FTEs across our contact centres having grown at a very rapid clip. The company has had significant growth and has identified Direct to Consumer (D2C) as a key means to drive acquisition. The contact centre is a key component driving this growth. Whilst we move our service to self-service channels, we continue to see contact centres being a core component of our service strategy. We expect to see these numbers increase with addition in partners and incremental physical centres. Also, the Company is looking at opening Regional CC in Tier 2/3 cities, managing the Vendor Relations is the crux of this role.The organization has created a centralized Contact Centre Partner Excellence function which will enable this growth to be better managed through as structured approach working with Internal (Business & Vertical Teams) and External Stakeholders (Partners, Vendors, Market SMEs) We are seeking a highly skilled IT SPOC (Single Point of Contact) with a background in Computer Engineering / BSc IT to oversee IT d, and Network Security are maintained as per company policies and regulatory standard. Duties and Responsibilities: Contact Centre Security: Oversee the security measures in place for Contact Centres, ensuring data protection and compliance with industry standards. Data Security: Implement and monitor data security protocols to protect sensitive information from unauthorized access and breaches. Endpoint Security: Manage endpoint security solutions to safeguard devices against threats and vulnerabilities. Information Security & Governance: Develop and enforce information security policies, procedures, and governance frameworks. Physical Security: Ensure physical security measures are in place to protect IT infrastructure and assets. Network Security: Oversee network security operations, including firewalls, intrusion detection systems, and network access controls. DLP Security - Ensure DLP (Data Loss Prevention) controls are in place to prevent data breaches. Asset Management: Ensure all IT assets are tracked, managed, and audited for compliance with company policies and regulatory requirements. On-ground presence is mandatory at the designated locationHe/she will be the compliance lead in driving these measures and will be required to collaborate with respective Internal and External stakeholders for Monitoring Efficiency & Effectiveness of the Compliance Controls. Experience and Expertise Knowledge Bachelors degree in computer engineering, BSc IT, or a related field. Experience Minimal of 3 to 4 years in IT support preferably in Contact Center locations, information security, or infrastructure management Strong knowledge of IT asset management, cybersecurity, and compliance requirements. Ability to work under minimal supervision and handle compliance controls effectively Ability to work independently and as part of a team. Skills Ability to interact with cross functional stakeholders across Internal and External teams Coordination with Admin, Security, IT, and Compliance teams. Excellent interpersonal, oral and written communication skills required. Problem solving and Decision-making skills Experience with compliance frameworks like ISO 27001, GDPR, or similar. Familiarity with security tools and technologies.

As a Contact Center Subject Matter Expert (SME) specialized in Auto Dialer implementation for the Collections Department, your primary role will be to lead the implementation of an Auto Dialer system for outbound contact center operations in a banking environment. Your responsibilities will include: - Leading the implementation of an Auto Dialer system (Predictive, Progressive, and Preview dialing modes) for collections operations. - Designing and optimizing campaign management strategies, call prioritization, segmentation, and agent workflows. - Ensuring compliance with TCPA, FDCPA, GDPR, and other banking regulations related to outbound calling. - Defining and implementing dialer performance KPIs such as connect rates, agent occupancy, and right-party contact (RPC) rates. - Working with AI-driven analytics and voice bots to enhance automated debt recovery and reduce agent workload. - Overseeing agent scripting, call disposition management, and automated follow-up processes. - Ensuring workforce management (WFM) alignment to optimize agent productivity and call load balancing. - Collaborating with IT, vendors, and business stakeholders to ensure a scalable and efficient dialer deployment. - Monitoring dialer performance and optimizing algorithms for better efficiency and regulatory adherence. To excel in this role, you should possess: - 5+ years of experience in contact center and auto dialer implementation within banking or financial services. - Hands-on expertise with Auto Dialer solutions like Genesys, Avaya, Cisco, Five9, Aspect, NICE, or equivalent. - Strong knowledge of predictive, progressive, and preview dialing modes. - Experience with collections operations, debt recovery strategies, and compliance-driven calling processes. - Understanding of speech analytics, AI-powered call automation, and self-service solutions. - Deep expertise in campaign management, call flow design, and outbound call center optimization. - Knowledge of multi-country, multi-currency collections processes. - Experience in data analytics, reporting, and dialer performance optimization. - Strong project management and stakeholder management skills. Preferred qualifications include certifications in Genesys, Avaya, Cisco, Five9, Aspect, or NICE dialer systems, experience in AI-driven conversational bots and automated debt collection solutions, and a background in compliance frameworks for outbound collections.,

Role Overview: You are required to have 13+ years of experience in IT, with at least 6 years of experience as a Technical Product Manager, Technical Program Manager, or Delivery Lead. Your role will involve hands-on development experience in data engineering, managing data engineering, analytics, or AI/ML projects end to end, and understanding modern data architecture. Additionally, you should have hands-on familiarity with cloud platforms and strong knowledge of Agile methodologies. Key Responsibilities: - Own the end-to-end delivery of data platform, AI, BI, and analytics projects, ensuring alignment with business objectives and stakeholder expectations. - Develop and maintain comprehensive project plans, roadmaps, and timelines for data ingestion, transformation, governance, AI/ML models, and analytics deliverables. - Lead cross-functional teams to deliver high-quality, scalable solutions on time and within budget. - Define, prioritize, and manage product and project backlogs covering data pipelines, data quality, governance, AI services, and BI dashboards or reporting tools. - Collaborate closely with business units to capture and translate requirements into actionable user stories and acceptance criteria for data and analytics solutions. - Oversee BI and analytics area including dashboard development, embedded analytics, self-service BI enablement, and ad hoc reporting capabilities. - Ensure data quality, lineage, security, and compliance requirements are integrated throughout the project lifecycle. - Coordinate UAT, performance testing, and user training to ensure successful rollout of data and analytics products. - Act as the primary point of contact for all project stakeholders, providing regular status updates, managing risks and issues, and escalating as necessary. - Facilitate agile ceremonies such as sprint planning, backlog grooming, demos, and retrospectives. - Drive post-deployment monitoring and optimization of data and BI solutions. Qualifications Required: - Overall 13+ Years of Experience in IT with 6+ years of experience as a Technical Product Manager, Technical Program Manager, or Delivery Lead. - Hands-on development experience in data engineering, including data pipelines, ETL processes, and data integration workflows. - Proven track record managing data engineering, analytics, or AI/ML projects end to end. - Solid understanding of modern data architecture: data lakes, warehouses, pipelines, ETL/ELT, governance, and AI tooling. - Hands-on familiarity with cloud platforms (e.g., Azure, AWS, GCP) and DataOps/MLOps practices. - Strong knowledge of Agile methodologies, sprint planning, and backlog grooming. - Excellent communication and stakeholder management skills, including working with senior execs and technical leads.,

In this role as a Manager of Product Marketing Data & Strategy, you will be responsible for leading the intersection of data analytics, product marketing, and business decision-making. Your main responsibilities will include: - **Data & Advanced Analytics**: - Conduct advanced statistical analysis to understand customer behavior, product adoption patterns, and campaign ROI. - Develop and scale algorithms to support personalization, lead scoring, and conversion rate optimization. - **Strategic Marketing Insights**: - Partner with product marketers to shape positioning, messaging, and GTM strategies using data-driven insights. - Analyze competitive landscapes, market trends, to support strategic planning. - Deliver high impact insights and recommendations to cross-functional stakeholders. - **Data Infrastructure & Reporting**: - Define data requirements and work with engineering and BI teams to ensure clean, scalable, and accessible marketing datasets. - Develop interactive dashboards and self-service tools to democratize marketing performance data across teams. - Own key performance metrics and attribution models that connect marketing activities to business outcomes. - **Cross-Functional Collaboration**: - Act as a strategic thought partner to marketing, product, and sales leadership. - Collaborate with GTM teams to test hypotheses, run experiments, and iterate on marketing strategies. - Drive alignment on customer definitions, metrics, and business drivers across departments. - **Team & Project Leadership**: - Lead cross-functional analytics initiatives and manage junior data scientists or analysts. - Champion data literacy and insight-driven decision-making across the marketing organization. **Education & Experience**: - Masters degree in data science, Statistics, Economics, Computer Science, Engineering, or related field. - 10+ years of experience in product analytics, data science, strategy roles, preferably in a global consulting environment. - Proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Power BI, Looker). - Experience building models using machine learning libraries and frameworks (e.g., scikit-learn, XGBoost, TensorFlow, etc.). - Strong communication and storytelling skills with the ability to explain complex concepts to non-technical stakeholders. - Proficient with marketing concepts, strategy consulting, and product lifecycle.,

As a Manager of Product Marketing Data & Strategy, your role will involve leading the intersection of data analytics, product marketing, and business decision-making. Your responsibilities will include: - **Data & Advanced Analytics:** - Conducting advanced statistical analysis to understand customer behavior, product adoption patterns, and campaign ROI. - Developing and scaling algorithms to support personalization, lead scoring, and conversion rate optimization. - **Strategic Marketing Insights:** - Partnering with product marketers to shape positioning, messaging, and go-to-market strategies using data-driven insights. - Analyzing competitive landscapes and market trends to support strategic planning. - Delivering high-impact insights and recommendations to cross-functional stakeholders. - **Data Infrastructure & Reporting:** - Defining data requirements and collaborating with engineering and BI teams to ensure clean, scalable, and accessible marketing datasets. - Developing interactive dashboards and self-service tools to democratize marketing performance data across teams. - Owning key performance metrics and attribution models connecting marketing activities to business outcomes. - **Cross-Functional Collaboration:** - Acting as a strategic thought partner to marketing, product, and sales leadership. - Collaborating with go-to-market teams to test hypotheses, run experiments, and iterate on marketing strategies. - Driving alignment on customer definitions, metrics, and business drivers across departments. - **Team & Project Leadership:** - Leading cross-functional analytics initiatives and managing junior data scientists or analysts. - Championing data literacy and insight-driven decision-making across the marketing organization. **Education & Experience:** - Masters degree in data science, Statistics, Economics, Computer Science, Engineering, or related field. - 10+ years of experience in product analytics, data science, strategy roles, preferably in a global consulting environment. - Proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Power BI, Looker). - Experience building models using machine learning libraries and frameworks (e.g., scikit-learn, XGBoost, TensorFlow, etc.). - Strong communication and storytelling skills with the ability to explain complex concepts to non-technical stakeholders. - Proficient with marketing concepts, strategy consulting, and product lifecycle.,

As a seasoned Manager of Technical Project Management at Cvent, you will lead a high-performing team overseeing a strategic portfolio of critical IT programs and projects across the Corporate Systems landscape. This pivotal role involves driving program-level strategy, delivery excellence, and governance for high-impact initiatives spanning Salesforce, ERP, BI & Analytics, Data Warehousing, and automation solutions. - Provide strategic oversight and direction for the end-to-end delivery of multiple cross-functional projects and programs under a centralized portfolio. - Lead, coach, and develop a team of Project Managers, Scrum Masters, and delivery professionals, guiding them on Agile best practices and driving continuous improvement. - Maintain and evolve a centralized project portfolio management system to provide real-time visibility into timelines, risks, dependencies, resource allocation, scope changes, and delivery performance. Collaboration with engineering, QA, product, and architecture teams is essential to remove impediments and ensure on-time, high-quality delivery. Enforce Agile and Scrum best practices across teams, establish standardized intake, prioritization, change control, and project reporting processes, and drive automation and optimization of project management processes using AI-powered tools and virtual assistants. Leveraging natural language processing and machine learning, proactively identify risks, issues, and opportunities for improvement, providing data-driven recommendations to project teams. Implement AI-powered collaboration and knowledge-sharing platforms to facilitate cross-functional coordination, encourage the use of self-service AI-powered support tools, drive greater efficiency, predictability, and agility across the project portfolio, and lead transformation initiatives aimed at scaling agile and improving delivery predictability. Serve as the delivery voice in steering committees, managing and escalating risks, issues, and interdependencies, collaborating with stakeholders, and providing insights through data-driven reports and visualizations. Qualifications: - 14+ years of experience in the software industry with exposure in Project/Program Management. - Bachelor's degree in relevant fields. - Strong knowledge of Agile frameworks. - Experience in AI/ML tools and frameworks. - Excellent communication and interpersonal skills. - Strong stakeholder management. - Executive presentation skills. - Problem-solving abilities. - Attention to detail. - Hands-on experience with tools like Jira, Confluence, and reporting tools such as Power BI and Tableau. - Certifications like PMP, CSM, or SAFe are preferred.,

If you're ready to lead with ownership and precision, and have a knack for turning vision into reality, unleash your passion for product innovation by spearheading customer-centric development, inspiring groundbreaking solutions, and shaping the future with your strategic vision, influence, and execution! The Home Lending Data Testing team provides centralized prioritization, planning, design, execution leadership, and support for large, complex, technology-dependent data programs across the Home Lending organization. As a key driver in the project delivery lifecycle, this team partners across CCB and the JPMC Enterprise to define strategies and approaches for testing Home Lending Data initiatives, as well as setting and stewarding sound UAT Management methodologies. **Key Responsibilities:** - Lead, mentor, and inspire a team of data automation engineers and leads across multiple domains and source systems, fostering a culture of innovation and excellence. - Design and develop high-volume, low-latency tools to support the testing of Home Lending applications. - Own and guide the modernization of our automation framework, including the migration of legacy/local scripts to AWS, and enabling cloud-based test execution and monitoring. - Build self-service automation insight reporting (in AWS or tools like Tableau) to provide visibility and business impact. - Ensure seamless code integration into Home Lending Tech's CI/CD build and deploy pipelines. - Define and document automation-focused test strategies for products and applications. - Drive continuous improvement by exploring innovative solutions for design review and implementation. - Implement ideas from concept through to execution, including root cause analysis. - Manage timelines, dependencies, and resources while liaising with stakeholders and functional partners. - Conduct market research and competitive analysis to identify opportunities for differentiation and innovation. - Build and implement architectural designs that enhance testing processes. **Qualifications Required:** - Proven experience leading automation engineering teams and experience migrating automation scripts to cloud platforms. - Advanced expertise in designing and deploying scalable systems on AWS (AWS Cloud Practitioner Certification required). - Certified ScrumMaster (CSM) or equivalent Agile certification, demonstrating understanding of Agile methodologies. - Strong understanding of the Software Development Life Cycle, contributing to all phases. - Strong hands-on experience with databases (Oracle, MySQL, SQL Server) and proficiency in writing queries. - Strong hands-on experience with functional testing automation tools (Selenium, Java, Cucumber, Python) and test automation frameworks (Selenium, PyTest, Java, Python, PySpark, etc.). - Strong experience with data quality testing and working across multiple systems of record (Encompass, MFTS, Federated, etc.). - Deep understanding of customer needs and pain points, using insights to guide product development and prioritize high-value features. - Proficiency in data analytics to inform product decisions and improve user experience and business outcomes. - Strong collaboration skills with engineering, design, and business teams, effectively communicating product goals and progress to stakeholders. - Excellent organization and time management capabilities. Ability to coach and mentor team members with a mindset of curiosity, ownership, and accountability.,

Role Overview: As a Manager - Database Reliability Engineering (DBRE) at our company, you will be leading a team dedicated to ensuring the reliability, performance, and scalability of large-scale database systems like MongoDB, MySQL, and Elasticsearch. Your main focus will be on implementing automation-first solutions to improve database operations across various environments. Key Responsibilities: - Team Leadership & Strategy: Build and mentor a high-performing DBRE team, emphasizing automation, reliability, and continuous improvement. - Database Operations & Reliability: Ensure the uptime, performance, and scalability of MongoDB, MySQL, and Elasticsearch clusters in different regions. - Automation & Engineering: Drive automation for tasks such as database provisioning, scaling, backups, upgrades, and recovery using Go or Python. Advocate for Infrastructure as Code and self-service database management. - Monitoring & Incident Response: Set up automated monitoring, alerting, and self-healing mechanisms. Lead incident response, root cause analysis, and postmortem reviews. - Collaboration: Collaborate closely with SRE, CloudOps, Security, and development teams to enhance database reliability and facilitate new feature rollouts. - Best Practices & Documentation: Establish DBRE best practices, document automation workflows, and create operational runbooks. - Capacity & Cost Management: Forecast database growth, handle capacity planning, and optimize costs. - Security & Compliance: Ensure strong database security, compliance, and data protection measures. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 8+ years of experience in Database Engineering, DBRE, or SRE roles, with a minimum of 3 years in technical leadership or management. - Proficiency in MongoDB, MySQL, and Elasticsearch, with additional experience in Go or Python for automation and tooling. - Experience automating database provisioning, scaling, patching, and self-healing systems. - Expertise in managing highly available and scalable database clusters, including replication, sharding, backup/restore, and performance tuning. - Strong understanding of database security, access control, and compliance practices. - Excellent leadership, incident management, and communication skills. - Proven track record of hiring, mentoring, and developing high-performing technical teams. Role Overview: As a Manager - Database Reliability Engineering (DBRE) at our company, you will be leading a team dedicated to ensuring the reliability, performance, and scalability of large-scale database systems like MongoDB, MySQL, and Elasticsearch. Your main focus will be on implementing automation-first solutions to improve database operations across various environments. Key Responsibilities: - Team Leadership & Strategy: Build and mentor a high-performing DBRE team, emphasizing automation, reliability, and continuous improvement. - Database Operations & Reliability: Ensure the uptime, performance, and scalability of MongoDB, MySQL, and Elasticsearch clusters in different regions. - Automation & Engineering: Drive automation for tasks such as database provisioning, scaling, backups, upgrades, and recovery using Go or Python. Advocate for Infrastructure as Code and self-service database management. - Monitoring & Incident Response: Set up automated monitoring, alerting, and self-healing mechanisms. Lead incident response, root cause analysis, and postmortem reviews. - Collaboration: Collaborate closely with SRE, CloudOps, Security, and development teams to enhance database reliability and facilitate new feature rollouts. - Best Practices & Documentation: Establish DBRE best practices, document automation workflows, and create operational runbooks. - Capacity & Cost Management: Forecast database growth, handle capacity planning, and optimize costs. - Security & Compliance: Ensure strong database security, compliance, and data protection measures. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 8+ years of experience in Database Engineering, DBRE, or SRE roles, with a minimum of 3 years in technical leadership or management. - Proficiency in MongoDB, MySQL, and Elasticsearch, with additional experience in Go or Python for automation and tooling. - Experience automating database provisioning, scaling, patching, and self-healing systems. - Expertise in managing highly available and scalable database clusters, including replication, sharding, backup/restore, and performance tuning. - Strong understanding of database security, access control, and compliance practices. - Excellent leadership, incident management, and communication skills. - Proven track record of hiring, mentoring, and developing high-performing technical teams.

As a Senior Manager in Marketing Analytics at Expedia Group, you will lead a team dedicated to automating and extracting trends from channel performance datasets. Your role will involve transforming data into actionable strategies and insights that enhance channel performance. You will use analytical thinking to interpret complex trends and provide recommendations to improve channel operations. Your responsibilities will include: - Analyzing attribution and channel operations data to generate insights and explanations for performance trends - Developing and delivering self-service analytics products for stakeholders to facilitate the transformation of data trends into commercial insights - Investigating data quality issues and differentiating changes in customer behavior from underlying data quality - Balancing long-term roadmap deliverables with ad-hoc investigations and proactively anticipating support requests - Partnering closely with Channel Teams, Finance, and Data Engineering to mediate between channel measurement data and teams relying on them for understanding commercial performance Qualifications for this role include: - PhD, Masters or Bachelors degree (preferably in Mathematics or a Scientific field) with 4-7 years of work experience OR 7+ years of experience in a comparable data analytics role - 2-4 years of experience in managing marketing analytical teams - Proficiency in SQL, PySpark/Python for data transformation, visualization, and willingness to learn new frameworks - Strong logical thinking skills and experience in distilling insights from complex datasets - Experience with data visualization tools like Tableau and Power BI - Collaboration experience with other teams and disciplines to deliver projects Expedia Group is committed to creating an inclusive culture that values diversity and belonging. They offer a full benefits package, exciting travel perks, generous time-off, parental leave, and career development resources to fuel employees' passion for travel and ensure a rewarding career journey. Join Expedia Group in shaping the future of travel and becoming part of a vibrant and welcoming community that celebrates differences and values shared success. As a Senior Manager in Marketing Analytics at Expedia Group, you will lead a team dedicated to automating and extracting trends from channel performance datasets. Your role will involve transforming data into actionable strategies and insights that enhance channel performance. You will use analytical thinking to interpret complex trends and provide recommendations to improve channel operations. Your responsibilities will include: - Analyzing attribution and channel operations data to generate insights and explanations for performance trends - Developing and delivering self-service analytics products for stakeholders to facilitate the transformation of data trends into commercial insights - Investigating data quality issues and differentiating changes in customer behavior from underlying data quality - Balancing long-term roadmap deliverables with ad-hoc investigations and proactively anticipating support requests - Partnering closely with Channel Teams, Finance, and Data Engineering to mediate between channel measurement data and teams relying on them for understanding commercial performance Qualifications for this role include: - PhD, Masters or Bachelors degree (preferably in Mathematics or a Scientific field) with 4-7 years of work experience OR 7+ years of experience in a comparable data analytics role - 2-4 years of experience in managing marketing analytical teams - Proficiency in SQL, PySpark/Python for data transformation, visualization, and willingness to learn new frameworks - Strong logical thinking skills and experience in distilling insights from complex datasets - Experience with data visualization tools like Tableau and Power BI - Collaboration experience with other teams and disciplines to deliver projects Expedia Group is committed to creating an inclusive culture that values diversity and belonging. They offer a full benefits package, exciting travel perks, generous time-off, parental leave, and career development resources to fuel employees' passion for travel and ensure a rewarding career journey. Join Expedia Group in shaping the future of travel and becoming part of a vibrant and welcoming community that celebrates differences and values shared success.

As an Assistant Manager MI Reporting at HSBC, you will play a crucial role in providing proactive and efficient support in managing service requests and reporting. Your responsibilities will include: - Resolving all service requests within the agreed Service Level Agreement (SLA) timeframe. - Handling both ad hoc and regular reporting tasks. - Providing knowledge transfer and training on Qlik for self-service functionality. You will be accountable for: - Escalating complex or problematic requests to line management. - Managing relationships with internal and external stakeholders. - Ensuring all work is processed in accordance with established procedures. Moreover, you will: - Provide guidance on self-serve reports and support Procurement transformation projects. - Ensure compliance with Quality Assurance, Change Control, and Release Management procedures. Your role will involve executing initial issue diagnosis, prioritizing incident resolution, updating the knowledge base, and maintaining supporting process/technical documentation. You will proactively provide data and analysis to meet customer requirements, escalate anomalies to the data/dashboard developer, and ensure secure data activities in adherence to policies and regulations. To excel in this position, you should have: - Understanding of the Procurement life cycle and Procurement applications. - Proficiency in SQL, ETL framework, Alteryx, Python, GCP, and Qlik Sense. - Experience with business tools like JIRA and Confluence. - Intermediate coding and analysis skills. - Exposure to data visualization technologies such as Looker and Qlik. Critical thinking, analytical problem-solving skills, and the ability to make data-driven decisions are essential for success in this role. You will collaborate with internal teams, ensure compliance with internal policies and regulatory requirements, and participate in team meetings to provide insights and recommendations. Keeping SOPs and Confluence pages updated, sharing process changes with peers, and promptly flagging any issues are key aspects of your role. Join HSBC to make a real impact and contribute to the growth and success of one of the world's largest banking and financial services organizations.,

As a Manager, Data Analytics at IFF, you will play a crucial role in leading the transformation of the global data ecosystem. Your strategic thinking and expertise in data architecture will be instrumental in shaping the future of data analytics within the company. Here's what you can expect in this role: Role Overview: - Lead the design and implementation of enterprise-scale data pipelines and analytics platforms. - Oversee data ingestion, transformation, and modelling across structured and graph-based systems. - Champion the use of Microsoft Fabric, Snowflake, and Neo4j to enable scalable, secure, and performant data solutions. - Collaborate with cross-functional stakeholders to translate business needs into actionable data strategies. - Drive adoption of Power BI dashboards and self-service analytics across business units. - Ensure data governance, quality, and compliance standards are met across all analytics initiatives. - Mentor and develop a team of data engineers and analysts, fostering a culture of innovation and excellence. Key Responsibilities: - Bachelors or Masters degree in Computer Science, Data Engineering, Statistics, or a related field with a minimum of 8+ years in data analytics (3+ years in a leadership or managerial role). - Expert-level proficiency in SQL and relational databases. - Strong experience with Microsoft Fabric, Power BI, Snowflake, and Neo4j. - Proven track record in building and scaling data pipelines and cloud-based analytics platforms. - Deep understanding of data modelling, orchestration, and governance. - Excellent communication and stakeholder management skills. - Ability to lead cross-functional teams in a fast-paced, global environment. Qualifications Required: - Experience with data orchestration tools like Snowflake. - Proficiency in Python & Microsoft Fabric for advanced data manipulation and automation. - Familiarity with agile development, CI/CD pipelines, and version control (e.g., Git). - A strategic mindset, curiosity for emerging technologies, and a passion for unlocking business value through data. You will also benefit from a hybrid work model (3 days/week), two-way transportation, and various learning and development programs offered by the company. Join us at IFF and be part of a visionary, technically driven team that delivers sustainable innovations to elevate everyday products. As a Manager, Data Analytics at IFF, you will play a crucial role in leading the transformation of the global data ecosystem. Your strategic thinking and expertise in data architecture will be instrumental in shaping the future of data analytics within the company. Here's what you can expect in this role: Role Overview: - Lead the design and implementation of enterprise-scale data pipelines and analytics platforms. - Oversee data ingestion, transformation, and modelling across structured and graph-based systems. - Champion the use of Microsoft Fabric, Snowflake, and Neo4j to enable scalable, secure, and performant data solutions. - Collaborate with cross-functional stakeholders to translate business needs into actionable data strategies. - Drive adoption of Power BI dashboards and self-service analytics across business units. - Ensure data governance, quality, and compliance standards are met across all analytics initiatives. - Mentor and develop a team of data engineers and analysts, fostering a culture of innovation and excellence. Key Responsibilities: - Bachelors or Masters degree in Computer Science, Data Engineering, Statistics, or a related field with a minimum of 8+ years in data analytics (3+ years in a leadership or managerial role). - Expert-level proficiency in SQL and relational databases. - Strong experience with Microsoft Fabric, Power BI, Snowflake, and Neo4j. - Proven track record in building and scaling data pipelines and cloud-based analytics platforms. - Deep understanding of data modelling, orchestration, and governance. - Excellent communication and stakeholder management skills. - Ability to lead cross-functional teams in a fast-paced, global environment. Qualifications Required: - Experience with data orchestration tools like Snowflake. - Proficiency in Python & Microsoft Fabric for advanced data manipulation and automation. - Familiarity with agile development, CI/CD pipelines, and version control (e.g., Git). - A strategic mindset, curiosity for emerging technologies, and a passion for unlocking business value through data. You will also benefit from a hybrid work model (3 days/week), two-way transportation, and various learning and development programs offered by the company. Join us at IFF and be part of a visionary, technically driven team that delivers sustainable innovations to elevate everyday products.

As a Product Manager for the Benchmarking Platform, you will have the following responsibilities: - Own, define, and manage the product roadmap, execution, stakeholder alignment, compliance/security, and ensure that the product development, deployment, and iterations meet business expectations. - Manage the product roadmap, backlog, and delivery milestones effectively. - Translate business needs into user stories, functional specifications, and acceptance criteria. - Collaborate with engineering/data teams on ETL pipelines, APIs, and orchestration using tools like Airflow/Step Functions. - Champion AI/ML integration, predictive benchmarking, and workflow automation features within the platform. - Oversee the development of dashboards, automate reports in formats like PPT/PDF, and design a self-service experience for users. - Ensure compliance, security, and clear stakeholder communication across different teams. Desired Experience & Skills: - 6+ years of experience in SaaS/data product management with a focus on subscription research or analytics platforms for at least 2 years. - Proven track record of defining product requirements, creating BRDs/FRDs, and leading engineering/data delivery processes. - Hands-on experience with ETL/ELT workflows, tools like Airflow, dbt, and knowledge of data orchestration best practices. - Familiarity with cloud ecosystems such as AWS/Azure/GCP and strong knowledge of databases like Snowflake, BigQuery, or Redshift. - Experience in analytics/visualization tools like Tableau, Power BI, or embedded BI tools such as Superset and Looker. - Proficiency in working with APIs & Microservices like REST/GraphQL/Similar APIs, along with authentication methods like OAuth, SAML, SSO. - Knowledge of data governance principles including tools like Great Expectations, semantic modeling, and concepts of row/column-level security. - Bonus: Exposure to tools like PptxGenJS, WeasyPrint, and AI/ML-enabled product features such as Chatbot Integration into SaaS products. Academic Background: - Bachelors degree in Computer Science/Engineering is required. - An MBA or Business Analysis background is considered an advantage.,

As a Service Delivery Manager for IT Application Support, your role is crucial in ensuring the seamless delivery of support services for IT applications, meeting agreed-upon service levels, and maintaining high customer satisfaction. You will be responsible for managing a team of support professionals, coordinating with internal and external stakeholders, and ensuring the availability, reliability, and performance of IT applications. Key Responsibilities: - Oversee day-to-day operations of the IT application support group, ensuring timely and effective issue resolution. - Define and monitor service level agreements (SLAs) and key performance indicators (KPIs). - Ensure that support services are delivered according to agreed timelines and quality standards. - Act as the escalation point for critical incidents, ensuring effective communication and resolution. - Coordinate root cause analysis (RCA) for recurring or high-impact incidents and ensure permanent fixes. Team Leadership: - Lead and mentor the support team, fostering a culture of excellence and accountability. - Allocate resources effectively based on priorities and workload. - Conduct regular performance reviews, identify training needs, and facilitate skill development for team members. Stakeholder Engagement: - Act as the primary point of contact between the IT support group and business users. - Build strong relationships with key stakeholders, ensuring their requirements and expectations are understood and met. - Provide regular updates to stakeholders on incident resolution, system performance, and service improvements. Process Improvement: - Continuously review and enhance support processes to improve efficiency and effectiveness. - Implement best practices in IT service management (ITSM) aligned with frameworks such as ITIL. - Drive automation and self-service initiatives to reduce manual intervention and improve response times. Incident, Change, and Problem Management: - Ensure incidents are logged, tracked, and resolved according to priority and impact. - Oversee change management processes to minimize disruptions to the production environment. - Collaborate with development and infrastructure teams to address recurring issues and ensure system stability. Compliance and Reporting: - Ensure compliance with organizational policies, security guidelines, and regulatory requirements. - Generate and analyze reports on SLA compliance, ticket trends, and team performance for management review. - Lead audit activities related to the IT application support function.,

As a Technical Product Manager Integrations at Anchanto, your primary responsibility will be to drive the strategy, execution, and optimization of third-party integrations. You will need to have a deep understanding of functional and technical aspects of integrations across various domains such as Marketplaces, Carriers, Accounting, Robotics, and Automation. Your role will involve working closely with engineering, business teams, and external partners to define the product roadmap, ensure smooth execution, and maintain high-quality documentation and training resources for stakeholders. Key Responsibilities: - Lead functional and technical analysis of third-party integrations to ensure seamless compatibility and scalability. - Define and execute the integration roadmap, prioritizing based on business impact and technical feasibility. - Collaborate with engineering teams to design robust APIs, webhooks, and middleware solutions for smooth integrations. - Work closely with partners, marketplaces, and service providers to ensure seamless API consumption and data exchange. - Evaluate and optimize integration performance based on uptime, latency, data accuracy, and customer feedback. Measurement & Success Metrics: - Establish clear success metrics for each integration focusing on adoption, performance, and business impact. - Implement a continuous measurement framework to track usage, data flow efficiency, and integration health. - Collaborate with analytics teams to monitor key KPIs and drive data-driven improvements. Requirement Definition & Stakeholder Collaboration: - Define functional and non-functional requirements (NFRs) for integrations, covering security, compliance, and scalability. - Act as the bridge between business, engineering, support, and third-party vendors to drive successful integration projects. - Partner with DevOps, security, and compliance teams to ensure integrations meet industry standards. Documentation & Knowledge Sharing: - Own and maintain integration user guides, API documentation, and technical specs for internal and external teams. - Create and publish release notes for integration updates, ensuring transparency and awareness across teams. - Conduct internal training sessions and demos to educate stakeholders on integration capabilities and best practices. - Develop FAQs, troubleshooting guides, and self-help documentation to streamline support processes. Internal Collaboration & Tooling: - Manage integration projects using JIRA, Aha!, Confluence, and other product management tools. - Work with engineering and QA teams to track development progress, bug fixes, and enhancements. - Support customer success teams by providing technical guidance on integration implementations. Customer UAT & Issue Resolution: - Support in customer User Acceptance Testing (UAT), ensuring integrations meet customer needs before deployment. - Act as a point of contact for customer queries, debugging issues, and coordinating resolution with engineering teams. - Implement proactive monitoring to identify and resolve integration failures before they impact users. Required Skills & Experience: - 5+ years of experience in Technical Product Management, API Integrations, or SaaS-based Platforms. - Strong technical background with experience in APIs, Webhooks, Data Mapping, and Middleware Solutions. - Experience working with eCommerce marketplaces, logistics carriers, accounting systems, or automation tools. - Expertise in defining and executing integration roadmaps in a SaaS or enterprise environment. - Strong analytical mindset with experience setting up success metrics and performance measurement. - Ability to define and manage functional and non-functional requirements (NFRs), ensuring security, compliance, and scalability. - Experience documenting API guides, release notes, FAQs, and self-service knowledge bases. - Proficiency in JIRA, Aha!, Confluence, or similar product management tools. - Excellent communication and stakeholder management skills, with the ability to train internal teams and conduct demos. - Hands-on experience with API testing tools (Postman, Swagger), integration platforms (Mulesoft, Zapier, etc.), and data transformation processes is a plus. Preferred Qualifications: - 5+ Experience in eCommerce, logistics, supply chain, or B2B SaaS platforms. - Knowledge of OAuth, REST, GraphQL, SAML, and messaging protocols like Kafka. - Familiarity with cloud platforms (AWS, GCP, Azure) and microservices architecture. - Certifications in Scrum/Agile methodologies is preferred. - Advanced understanding of business process analysis. - Expertise with APIs, XMLs and JSONs. - Work with the latest and most in-demand technologies, concepts, and approaches, including DevOps, Microservices, IoT, and more. - Hands-on experience with SOA, ESB, ETL tools and/or Data Integration products (Dell Boomi, Pervasive, Informatica, WebMethods, TIBCO, CastIron, Biztalk, .). - Ability to work effectively as part of a lean team and willing to take on responsibility. - Strong analytical skills with proficiency in data analysis tools and techniques. - Excellent communication and collaboration skills, with the ability to influence cross-functional teams and stakeholders. - Detail-oriented with a strategic mindset and a passion for driving product innovation and growth. - Application development experience with of Javascript, XML, XPath/XSLT, HTTP, Java, C#, C++, SQL is a plus.,

Role Overview: As a Product Manager at the company, you will work closely with the engineering team to scale the self-service addressability products in order to meet the increasing customer demand and comply with evolving Privacy regulations. You will serve as a product evangelist and subject matter expert for the platform capabilities and UX experiences. Additionally, you will collaborate with the broader platform team to devise an integration approach for unifying UX into the LiveRamp design framework and interface with the CSM Growth team to understand customer needs. Key Responsibilities: - Have 3 years of experience as a Product Manager with a proven track record of Product Management, specifically working closely with engineering teams to release enterprise SaaS products. - Work with designers to mock up user experience flows for products. - Possess a background degree or experience in Engineering and enjoy technical challenges and problem-solving. - Take early stage products to general availability to drive growth of an early stage business. - Work on building platforms by creating simple interfaces to solve complex problems. - Be a strategic thinker and collaborative diplomat, capable of building strong relationships and working effectively with other teams. - Act as a strong evangelist to align stakeholders, create clarity of priority, and rally teams around key project deliverables and goals. - Demonstrate strong project management skills, with the ability to manage and prioritize numerous requirements, deadlines, and projects. - Be a clear communicator, whether in writing PRDs, slack, or emails, to ensure stakeholders understand the objectives and reasons behind them. - Be resourceful and work with multiple teams to find solutions to complex problems. - Have experience with AWS Cloud services. Qualifications Required: - 3 years of experience as a Product Manager - Experience working closely with engineering teams for enterprise SaaS products - Background degree or experience in Engineering - Experience in taking early stage products to general availability - Strong project management skills - Clear communication abilities - Experience with AWS Cloud services,