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Design and build a scalable enterprise AI platform supporting consulting productivity, commercialization, agent orchestration, knowledgebases, and reusable AI capabilities. Lead architecture, migration, security, scalability, and implementation efforts while advising business opportunities and emerging technology initiatives. Partner with product, data, enterprise AI, security, compliance, and sourcing teams; mentor engineers; establish technical standards; and guide solutions from incubation through commercialization and scale.
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Support the roadmap and lifecycle management of Mastercard’s emerging data, analytics, and AI/ML products. Partner with engineering, data science, design, CX, regional teams, and sales to execute products, make technical tradeoffs, ensure product readiness, and support customer engagements. Develop sales enablement materials and training while applying Agile and product management disciplines to scale B2B solutions globally.
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Lead technical product management for AI-powered capabilities supporting Mastercard’s advisory and consulting teams. Translate business needs into technical requirements, prioritized backlogs, roadmaps, and delivery plans. Partner with engineering, data, AI, governance, security, compliance, sourcing, vendors, and business stakeholders. Guide integrations involving LLMs, agent frameworks, workflow engines, and knowledge bases; identify dependencies, facilitate technical reviews, support implementation, and drive AI adoption.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead technical product management for AI-powered platforms supporting Mastercard’s advisory and consulting teams. Translate business needs into technical requirements, prioritized backlogs, roadmaps, delivery plans, and measurable outcomes. Partner with engineering, AI, data governance, security, compliance, sourcing, and consulting stakeholders to integrate LLMs, AI services, agent frameworks, workflow engines, and knowledge bases. Facilitate technical reviews, support implementation and onboarding, identify dependencies, guide AI adoption, and mentor junior team members.
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Lead Mastercard’s business strategy across Colombia, Ecuador, Venezuela, Guyana, and Suriname. Develop strategic priorities, growth opportunities, market assessments, business cases, financial analyses, and investment evaluations. Coordinate cross-functional initiatives, support planning and executive governance, monitor performance, and provide recommendations to senior leadership. The role requires strong stakeholder management, analytical, presentation, and project management skills, along with fluency in English and Spanish.
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Leads technical product management for AI-powered consulting and advisory solutions. Translates business needs into technical requirements, prioritized backlogs, product roadmaps, and delivery plans. Partners with engineering, AI, data, security, governance, vendors, and business teams to integrate LLMs, agent frameworks, workflow engines, and orchestration platforms. Facilitates requirements reviews, supports implementation, identifies dependencies, guides technical designs, enables AI adoption, and mentors junior team members.
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Leads technical product management for AI-enabled platforms supporting Mastercard’s Advisors & Transformation group. Translates business needs into technical requirements, prioritized backlogs, product roadmaps, and delivery plans. Partners with engineering, AI, data governance, security, compliance, sourcing, and consulting teams to integrate LLMs, agent frameworks, workflow engines, and knowledge bases. Facilitates technical reviews, supports implementation and onboarding, identifies dependencies, mentors team members, and drives AI adoption and scalable commercialization solutions.
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Designs and delivers internet infrastructure architectures for applications, platforms, and systems. Develops technical architecture documents, logical flows, and requirements; resolves availability and performance issues; evaluates new technologies; implements and supports infrastructure components; performs diagnosis, tuning, capacity planning, configuration management, and monitoring. Collaborates with application teams, engineers, users, and stakeholders while managing assigned regional projects.
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Leads Open Finance connectivity operations, market expansion, automation, testing, quality improvement, and platform scalability. Manages relationships with data providers and supports API connection development, maintenance, and upgrades. Owns business requirements, roadmap development, and backlog prioritization while partnering with product and engineering teams across markets. Drives operational efficiency, reliability, complex cross-functional initiatives, and stakeholder alignment within a matrixed organization.
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Leads customer implementation engagements for Mastercard payment products, managing project plans, technical configurations, testing, documentation, training, and production readiness. Serves as the primary customer interface, translates business needs into implementation activities, coordinates internal teams, supports transaction-processing integrations, identifies issues, and provides product expertise before and after launch. Also guides less experienced team members and contributes to process and product improvements.
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Leads the design and development of Chef-based automation frameworks, configuration management, and platform services for hybrid infrastructure. Builds reusable Infrastructure as Code and CI/CD integrations, automated testing, compliance controls, self-service capabilities, and GitOps workflows. Collaborates with cloud, platform, and security teams to enforce hardened configuration baselines, troubleshoot complex infrastructure issues, and improve observability and operational tooling.
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Develop and deploy production machine learning solutions for forecasting, recommendation, propensity modeling, fraud detection, risk modeling, and customer analytics. Define experiments, evaluation frameworks, and success metrics; apply foundation-model embeddings and advanced modeling techniques; and measure business impact. Partner with product, engineering, analytics, and business teams to move solutions from concept to production. Contribute reusable modeling standards and mentor junior data scientists.
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Develop and deploy production machine learning solutions, including predictive models, recommendations, forecasting, fraud detection, and customer analytics. Define experimentation methods, evaluation frameworks, and success metrics; apply embeddings and foundation-model techniques; and drive initiatives from problem definition through impact measurement. Partner with product, engineering, business, and analytics teams, communicate findings to diverse stakeholders, establish modeling best practices, and mentor junior data scientists.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead a team of cyber threat intelligence analysts researching payment ecosystem threats, cybercrime actors, tactics, techniques, and procedures. Develop actionable intelligence reports, white papers, and strategic insights for technical and business audiences. Manage intelligence deliverables, stakeholder relationships, cross-functional collaboration, competing priorities, and quality standards while informing cybersecurity product decisions.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Support the roadmap and lifecycle management of Mastercard’s emerging data, analytics, and AI products. Partner with engineering, data science, design, CX, regional teams, and sales to execute products, make technical tradeoffs, create sales enablement materials, support customer conversations, and ensure product readiness and commercial success across global markets.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead technical product management for AI- and data-enabled consulting solutions. Translate business needs into technical requirements, prioritized backlogs, product roadmaps, success metrics, and delivery plans. Partner with engineering, AI, data governance, security, compliance, sourcing, vendors, and consulting teams to integrate LLMs, AI services, agent frameworks, workflow engines, and knowledge bases. Facilitate technical reviews, support implementations, guide business owners, coordinate software delivery, drive AI adoption, and mentor junior team members.
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Develop causal economic analyses using Mastercard and public datasets. Translate business questions into identification strategies, build econometric and causal machine-learning models, lead projects from data ingestion through validation, and communicate findings to clients and stakeholders. Guide best practices, prototype scalable analytics, conduct research, and apply experimentation methods across business contexts.
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Provides independent second-line oversight of technology and security risks across European markets. Reviews control design and effectiveness, monitors remediation, maintains technology risk frameworks, develops risk metrics and reporting, supports operational resilience and security strategies, represents risk at governance forums, and assists with regulatory examinations and submissions.
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Leads technical product management for AI- and data-enabled solutions supporting Mastercard’s Advisors & Transformation group. Translates business needs into technical requirements, prioritized backlogs, product roadmaps, and delivery plans. Partners with engineering, AI, data governance, security, compliance, sourcing, and consulting teams to integrate LLMs, agent frameworks, workflow engines, and orchestration platforms. Coordinates software delivery, facilitates technical reviews and workshops, supports customer onboarding, drives AI adoption, and mentors junior team members.
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Leads Mastercard’s global government cybersecurity engagement strategy, partnering with senior leadership and representing the organization with governments, cybersecurity agencies, critical infrastructure bodies, and multilateral institutions. Oversees advisory councils, strategic workstreams, policy and threat landscape analysis, executive communications, internal stakeholder alignment, and team development. Builds partnerships and positions Mastercard as a trusted cybersecurity advisor while improving the coherence, efficiency, and impact of global engagement activities.