Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, AI & Data Strategy - Product Manager, Responsible AI and Privacy Enhancing Technologies Director, AI & Data Strategy - Product Manager, RAI & PETs [Overview] As Product Manager for the Responsible AI and Privacy Enhancing Technologies (RAI & PETs) Toolkit within the AI and Data Office, you will own the product vision, roadmap, and delivery outcomes for Mastercard’s Responsible AI and PET enabled capabilities. Your role is to ensure these capabilities evolve into scalable, adoption ready products that enable teams to meet Responsible AI and data privacy expectations efficiently and consistently across the AI lifecycle. You will work closely with AI Governance, data science, engineering, privacy, security, and risk teams to translate Responsible AI principles, regulatory requirements, and privacy preserving data collaboration needs into clear, outcome focused product capabilities. A core measure of success is your ability to drive measurable adoption, reduce governance and privacy friction, and standardize Responsible AI and PET execution through well-designed product features. This role also supports government and public sector initiatives, ensuring that policy, regulatory, and data sovereignty intent is reflected in product requirements and reusable, scalable implementation patterns. [Role] This is a hands-on product leadership role focused on shaping and executing the roadmap for Mastercard’s RAI & PETs Toolkit and related productized capabilities. You will act as the single accountable product owner, defining what problems the toolkit solves, for whom, and in what sequence, aligned with broader AI governance, privacy, and trust priorities. You will partner with Solution Architects and Delivery Specialists to move from ambiguous Responsible AI and privacy requirements to clearly scoped, adoption ready product increments—balancing speed, risk, usability, and regulatory defensibility. You are expected to apply Mastercard product management discipline: staying solution agnostic, prioritizing outcomes over implementation, and engaging governance and privacy stakeholders early and continuously. You will lead through influence, align multiple teams around a shared roadmap, and represent the product in cross functional and executive forums, while remaining close to execution and adoption outcomes. Key Responsibilities] Product Strategy & Roadmap • Own and maintain the product vision and roadmap for the Responsible AI & PETs Toolkit, aligned to Mastercard’s AI Governance and data privacy frameworks. • Translate governance stages (e.g., risk assessment, control verification, monitoring) and privacy requirements (e.g., data minimization, restricted access, cross party data collaboration) into clear product capabilities with defined success metrics. • Identify opportunities to productize PET-enabled capabilities such as synthetic data, cleanroom-style analytics, and privacy-controlled model development workflows. • Prioritize features based on customer impact, risk reduction, scalability, regulatory defensibility, and reuse across teams and jurisdictions. Requirements & Product Execution • Define solution agnostic product requirements, epics, and acceptance criteria that enable engineering teams to deliver consistent, compliant Responsible AI and PET-enabled capabilities. • Partner with engineering and data science teams throughout the delivery lifecycle to ensure requirements are understood, testable, and aligned to governance and privacy expectations. • Ensure product releases are adoption-ready, including documentation, onboarding guidance, and evidence outputs required by governance, privacy, and risk reviewers. Stakeholder & Governance Collaboration • Act as the primary product interface to AI Governance, Privacy, Security, and Risk teams, embedding Responsible AI and PET requirements early rather than treating them as approval gates. • Facilitate trade off discussions between usability, privacy protection, explainability, coverage, and operational burden, making clear and defensible prioritization decisions. • Communicate roadmap intent, changes, and outcomes clearly to senior stakeholders. Government & Regulatory Enablement • Support government and public sector initiatives by translating regulatory, data sovereignty, and policy requirements into product features and reusable patterns. • Ensure Responsible AI and PET-enabled capabilities can operate across varied deployment constrain