Senior Product Manager (Data Governance Platform)

About the role

Product Manager, AI Governance Engineering — shape the future of responsible AI at scale by modernizing governance through automation. You’ll define the vision, roadmap, and requirements for governance-as-code: platform-agnostic SDKs, APIs, and automated controls that let teams move faster while enforcing consistent responsible-AI guardrails. This role blends high-altitude product strategy with hands-on product ownership, driving consensus across the company and delivering measurable outcomes.

Responsibilities

• Define product strategy, capabilities, and roadmaps for the governance-as-code engineering team.
• Design agent-to-agent workflows and research industry best practices using an agile approach.
• Establish a shared vision and build consensus on priorities across business partners and stakeholders.
• Gather requirements via interviews with internal stakeholders, exhibitors, and buyers; translate needs into product features.
• Conduct business-case and value analyses to prioritize scope and solution approaches.
• Work with peer Product Managers/Owners to manage cross-team dependencies.
• Define and analyze metrics that measure platform and product success.
• Facilitate human-centered working sessions to compile business needs and user feedback.
• Review epics, refine user stories, and ensure acceptance criteria are complete and actionable.
• Collaborate with UI/UX to set short- and long-term goals and produce actionable artifacts.
• Maintain accurate, up-to-date user stories throughout the development lifecycle in an agentic environment.
• Participate in incident management, risk identification/mitigation, and Agile ceremonies (stand-ups, sprint demos, retrospectives).
• Build relationships with key users to establish regular feedback loops.
• Communicate effectively with both technical and business audiences.

Requirements

• 7+ years as a Product Manager in a large, matrixed organization with many internal partners.
• 5+ years using Agile methodologies and productivity tools, leading incremental software releases.
• 5+ years working on data and analytics-based platform capabilities, services, or products.
• 3+ years collaborating with UI/UX teams to develop wireframes and working prototypes from user feedback and human-centered design.

Preferred Qualifications

• Experience with Responsible AI concepts (fairness, transparency, explainability, auditability).
• Background in regulated or high-trust technology environments.
• Ability to translate governance or risk requirements into scalable solutions.

Education

• Undergraduate degree required; graduate degree preferred.
• Preference given to degrees/credentials in agile, product management, data, and analytics-related fields.

What Success Looks Like

• AI intake processes are simpler, faster, and largely automated.
• Engineering teams have reusable SDKs and templates that make responsible AI the default.
• Validation of controls shifts from self-reporting to automated checks and evidence.
• Centralized observability provides real-time insight into AI usage, performance, and risk.

Pay

The typical pay range for this role is $118,450 – $260,590. The actual base salary will vary based on experience, education, geography, and other relevant factors. This position is eligible for a bonus, commission or short-term incentive program in addition to base pay, and includes an award target in the company’s equity award program.