AI Governance Product Manager

About the role

The Senior Manager, AI Governance Product Lead is a strategic leader responsible for shaping, delivering, and operationalizing governance capabilities that ensure trustworthy data and responsible AI across the enterprise.

Responsibilities

• Define AI Governance Strategy & Roadmap: Develop and maintain a multi-year strategy for AI Governance platforms, aligning with enterprise risk, compliance, data strategy, and in alignment with Product AI Governance.
• Coordinate & Lead team to roadmap and delivery targets: Drive alignment around key milestones, orchestrate cross functional coordination, and proactively remove blockers to ensure the team can deliver iterative, high value capabilities.
• Translate Governance Requirements into Platform Capabilities: Convert policies, standards, and control requirements into actionable feature sets, user stories, and workflows across data and AI domains within the platform.
• Discovery & Stakeholder Alignment: Structured discovery with Legal, Compliance, Risk, Data Engineering, and business teams to address governance needs.
• Advise on Governance Operating Models: Support the maturation of AI governance processes and federated governance structures.
• Delivery across AI Governance capabilities: Oversee development of capabilities such as AI model registries, AI use case registry and risk assessment tools, incident management, and monitoring workflows.
• Regulatory & Control Compliance: Collaborate with Risk, Compliance, Legal, and Internal Audit to ensure RTX meet regulatory requirements (e.g., AI regulations, GCP-60).
• Champion Responsible AI: Embed fairness, transparency, explainability, and ethical guidelines into AI lifecycle tools and processes.
• Enable Business Adoption: Support training, communications, change management, and rollout strategies to onboard users and teams.
• Manage Risk & Prioritization: Identify and manage risk associated with AI use cases.
• Mentor & Elevate the Team: Provide guidance to analysts, product managers, and governance SMEs; help uplift skills, tool proficiency, and governance maturity across the organization.
• Create and maintain playbooks for model evaluations, bias testing, privacy assessments, and production monitoring with clear thresholds/SLA triggers.
• Drive change management: training, communications, and adoption strategies to embed responsible AI practices across business units.

Qualifications

• A University Degree or equivalent experience and minimum 10 years prior relevant experience, or an Advanced Degree in a related field and minimum 7 years experience.
• 8+ years of experience in product management, data governance, analytics platforms, or AI/ML governance, including leadership of cross-functional initiatives.
• 5+ years experience in data platforms, governance tools, or enterprise AI capabilities.
• 5+ years working with AI/ML model lifecycle, including AI governance, risk assessments, transparency documentation, and monitoring practices.
• Experience translating legal, regulatory, and risk requirements into product features, workflows, and control checkpoints.
• 5+ years experience in Agile delivery, backlog management, and writing clear epics, features, and user stories.

What We Offer

• Robust total rewards package including compensation, healthcare, wellness, retirement, and work/life benefits.
• Training, communications, and adoption strategies to embed responsible AI practices across business units.
• Parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance, and child/adult backup care.