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Mastercard is seeking a Director of Project Management to lead delivery execution for a high-priority, strategic program within our AI & Data organization. This role is responsible for driving the development of next-generation modeling capabilities built on our global transaction data. This role is responsible for ensuring that the end-to-end lifecycle—from large-scale data ingestion to downstream product integration—is executed predictably and transparently. The Director will partner closely with AI researchers, data engineers, and product leadership to translate ambitious technical objectives into executable delivery plans. This is a hands-on leadership role requiring a balance of technical depth and program management expertise to navigate the unique challenges of building large-scale intelligence systems in a highly regulated environment.
Job Responsibility:
Program Lifecycle Ownership: Lead the end-to-end delivery of advanced modeling initiatives, from initial data curation and infrastructure scaling to model validation and deployment
Execution Rigor: Establish and maintain program-level planning, including roadmaps, milestones, and cross-functional dependencies across the AI & Data org
Technical Partnership: Act as the primary bridge between technical teams and business stakeholders, ensuring research milestones are aligned with commercial and operational timelines
Risk & Resource Management: Proactively identify and mitigate risks inherent in complex data science projects, such as compute constraints, data quality issues, and evolving technical requirements
Governance & Ethics: Ensure all program activities adhere to Mastercard's rigorous standards for AI governance, data privacy, and ethical modeling practices
Executive Communication: Provide clear, high-signal reporting on program health, resource utilization, and delivery milestones for senior leadership
Continuous Improvement: Optimize delivery frameworks to support 'speed to insight' while maintaining the reliability required for financial-grade systems
Requirements:
Advanced AI/Data Experience: Proven experience leading large, complex programs in the AI, Machine Learning, or Big Data space
Transactional Data Fluency: Comfort working with massive, high-velocity datasets and understanding the complexities of financial-grade data environments
Technical Acumen: Ability to engage credibly with Data Scientists and Engineers on topics like model training at scale, data pipelines, and API integration
Strategic Execution: Expert-level knowledge of program management methodologies (Agile, Hybrid, etc.) tailored for the non-linear nature of AI research and development
Diplomacy & Influence: Skilled at driving alignment across diverse stakeholders (Engineering, Legal, Product, and Security) without direct authority
Resilience: Comfortable operating in a high-stakes, fast-paced environment with evolving technical targets
Education: Bachelor's degree in a technical or business field
experience with PMP, SAFe, or equivalent frameworks preferred