Lead Product Manager, AI Governance

• Define the strategy, roadmap, and platform vision for UPS AI, GenAI, and intelligent-agent governance at scale
• Own the multi-year roadmap for governance capabilities and evolution of the governance operating model
• Manage executive relationships to align governance with enterprise priorities
• Lead AI governance strategy, roadmap, and KPIs, and set investment priorities for platforms, automation, and tooling
• Drive governance operating-model evolution and replace manual work with automation
• Set platform capability direction across the AI lifecycle, including intake, risk assessment, monitoring, drift, incident response, change control, and retirement
• Define target-state workflows and automation that embed governance into AI development and deployment
• Anticipate emerging AI risk and regulation and shape the roadmap accordingly
• Govern the lifecycle of AI agents, reusable assets, prompts, models, and inventories
• Serve as enterprise owner for AI governance platforms and automation delivered through IBM watsonx.governance and broader governance tooling
• Mentor Senior Product Managers and cross-functional contributors
• Work across Legal, Privacy, Security, Compliance, Enterprise Architecture, business, and IT teams

• Bachelor's degree in Information Systems, Computer Science, Business, Engineering, Data Analytics, or a related field
• 3 to 5 years of experience in AI/data governance, risk, product management for platforms and tooling, or technology strategy
• Experience leading enterprise governance programs, platform initiatives, or automation efforts
• Demonstrated experience setting strategy and roadmaps and influencing senior business and technical stakeholders
• Strong understanding of AI, machine learning, and the AI lifecycle
• Direct experience building or scaling governance platforms and automation (IBM watsonx.governance or equivalent) preferred
• Working knowledge of AI Governance frameworks (NIST AI RMF, ISO/IEC 42001, and the EU AI Act) preferred
• Expertise in Agile and product/platform lifecycle management preferred
• Professional certifications such as IAPP AIGP, CIPP, or equivalent preferred
• Prior experience mentoring or leading teams in a governance or regulated environment preferred

Demonstrates expertise in AI Governance, including strategy development, roadmap execution, and automation of governance processes. Proficient in managing cross-functional teams and aligning governance initiatives with enterprise priorities while ensuring compliance with emerging regulations.

• AI Governance Strategy
• Governance Platforms and Automation
• AI Lifecycle Management
• Agile Methodologies
• Risk Assessment and Compliance

• AI Governance
• Data Governance
• Risk Management
• Product Management
• Automation
• AI Lifecycle
• Strategy Development
• Roadmap Execution
• Governance Frameworks
• Change Control

• Mentoring
• Stakeholder Influence
• Cross-Functional Collaboration
• Leadership

• IAPP AIGP
• CIPP

• NIST AI RMF
• ISO/IEC 42001
• EU AI Act
• Enterprise Architecture
• Compliance

• IBM Watsonx.
  
  Governance
• Governance Tooling