AI Governance, Lead Product Manager

Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant field such as Information Systems or Data Analytics.
  • 3 to 5 years of experience in AI/data governance, risk management, or product management.
  • Experience leading enterprise governance programs or automation initiatives.
  • Ability to set strategic direction and influence senior stakeholders.
  • Strong understanding of AI and machine learning lifecycles.

Responsibilities

  • Lead the AI governance strategy and set investment priorities.
  • Drive the development of the governance operating model for scalability.
  • Set direction for platform capabilities throughout the AI lifecycle.
  • Define workflows and automation for embedding governance into AI development.
  • Anticipate and address emerging AI risks and regulations.
  • Govern lifecycle models for AI assets and inventories.
  • Mentor Senior Product Managers and enhance governance platform maturity.

Benefits

  • Hybrid work model with 3 days in the office in Louisville, Kentucky.
  • Opportunity to influence enterprise strategy and priorities.
  • Engagement with cross-functional teams including Legal, Privacy, and Security.
  • Chance to work with cutting-edge AI governance tools like IBM watsonx.governance.
  • Professional growth through mentoring positions.
Full Job Description
Job Description:

THIS POSITION IS HYBRID AND WILL REQUIRE CANDIDATES TO WORK IN LOUISVILLE, KENTUCKY OFFICE 3 DAYS A WEEK

About the Role

The Lead Product Manager of AI Governance defines the strategy, roadmap, and platform vision for how UPS governs AI, GenAI, and intelligent agents at scale -and for the platforms and automation that make it possible. This role owns the direction: the multi-year roadmap for governance capabilities, the evolution of the operating model, and the executive relationships that keep governance aligned to enterprise priorities.

Working across Legal, Privacy, Security, Compliance, Enterprise Architecture, and business and IT teams, the Lead decides where to invest in governance platforms, workflow automation, and lifecycle tooling to move from manual oversight to governance that scales. This role serves as the enterprise owner for AI governance platforms and automation -delivered through IBM watsonx.governance and the broader governance toolset.

What You'll Do
  • Lead the AI governance strategy, roadmap, and KPIs, and set investment priorities for governance platforms, automation, and tooling.
  • Drive the evolution of the governance operating model-how governance runs at scale and where automation replaces manual work.
  • Set the direction for platform capabilities across the AI lifecycle-intake, risk assessment, monitoring, drift, incident response, change control, and retirement-delivered through watsonx.governance and integrated tooling.
  • Define the target-state workflows and automation that embed governance into how AI is built and deployed.
  • Anticipate emerging AI risk and regulation (NIST AI RMF, ISO/IEC 42001, EU AI Act) and shape the roadmap to stay ahead of it.
  • Govern the lifecycle model for AI agents, reusable assets, prompts, models, and inventories.
  • Mentor Senior Product Managers and cross-functional contributors, elevating governance platform and product maturity across the organization.

Required Qualifications
  • 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 settingstrategy and roadmaps and influencing senior business and technical stakeholders.
  • Strong understanding of AI, machine learning, and the AI lifecycle.

Preferred Qualifications
  • Direct experience building or scaling governance platforms and automation (IBM watsonx.governance or equivalent).
  • Working knowledge of AI Governance frameworks (NIST AI RMF, ISO/IEC 42001, and the EU AI Act).
  • Expertise in Agile and product/platform lifecycle management.
  • Professional certifications such as IAPP AIGP, CIPP, or equivalent.
  • Prior experience mentoring or leading teams in a governance or regulated environment.


Employee Type:
Permanent

About United Parcel Service of America, Inc.

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