Define and own the product vision and long-term strategy for 1-2 domains of Mastercard’s Data and AI platform, ensuring alignment with business objectives.
Establish domain roadmap(s) that supports critical business areas and platform capabilities including:
Connectivity/Usage - Templates, CLIs, APIs, portals
Data Access, Privacy & regulatory controls
Metadata & lineage integration
Audit & evidence generation
Influence and collaborate with stakeholders across engineering, product management, and operations to align platform strategy with business goals.
Advocate for and implement modern data architecture principles (data lakes, data warehouses, data meshes) to drive innovation and scalability.
Partner closely with engineering counterparts, participating in technical discussions and leading requirement workshops.

Requirements

Experience leading product development in the Data & AI space within enterprise environments, ideally in a matrix organization.
Hands-on experience with AWS, Azure, or Google Cloud, and familiarity with AI/ML platforms such as Databricks and Snowflake.
Deep understanding of core building blocks and run time services needed to build a Data and AI platform is critical.
Deep understanding of the Data and AI platform landscape, architectural patterns, and emerging technologies.
Previous experience as a data engineer or data scientist is a strong advantage, especially in building AI/ML solutions for B2B.
Ability to foster a product-driven culture and champion best practices across the organization.
Proven experience building and leading cross-functional teams (product, design, data/software engineering, security, etc.) but also act as a subject matter expert as needed.
Exceptional leadership, communication, and stakeholder management skills, with the ability to influence at all levels.
Entrepreneurial mindset with agility and a bias for action in a fast-paced environment.

Benefits

insurance (including medical, prescription drug, dental, vision, disability, life insurance)
flexible spending account and health savings account
paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
80 hours of Paid Sick and Safe Time
25 days of vacation time and 5 personal days, pro-rated based on date of hire
10 annual paid U.S. observed holidays
401k with a best-in-class company match
deferred compensation for eligible roles
fitness reimbursement or on-site fitness facilities
eligibility for tuition reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata lakesdata warehousesdata meshesproduct developmentAI/ML solutionsdata engineeringdata scienceregulatory controlsmetadata integration

Soft Skills

leadershipcommunicationstakeholder managementinfluencecollaborationproduct-driven cultureagilityentrepreneurial mindsetcross-functional team leadershipchampioning best practices