Portfolio Manager, Data & AI Governance, Enablement & Literacy

General Motors•Warren, MI
•$160,200 - $203,250•Hybrid

About The Position

The Portfolio Manager leads prioritization, execution oversight, and performance management across General Motors’ Enterprise Data & AI Governance, Privacy Engineering, Enablement, and Literacy portfolio. The role provides operational leadership across Data & AI Readiness Engineering, Privacy by Design, AI Governance Engineering, Data Help, Data Literacy, Governance Platforms, and Enterprise Enablement, ensuring investments, roadmaps, resources, and outcomes align with enterprise priorities and support adoption of trusted, governed, AI-ready data at scale. The position works across strategy, engineering, product management, and organizational transformation to help make governance an accelerator for innovation, trusted data use, and responsible AI adoption. The role is categorized as hybrid, with the successful candidate expected to report to Warren Global Technical Center at least three times per week, or more frequently if business needs dictate.

Requirements

  • 8 or more years of experience in portfolio management, program management, product management, or technology strategy.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Cybersecurity, or a related technical field.
  • Experience leading complex, cross-functional technology or governance initiatives.
  • Strong executive communication and stakeholder management skills.
  • Demonstrated ability to manage competing priorities across multiple teams and initiatives.
  • Experience developing metrics, dashboards, business cases, and executive-level reporting.

Nice To Haves

  • Experience in Data Governance, AI Governance, Privacy, Risk, Compliance, or Enterprise Data Management.
  • Familiarity with modern data and AI platforms such as Databricks, Atlan, Immuta, Anomalo, or similar technologies.
  • Experience supporting enterprise transformation, platform adoption, or cloud modernization initiatives.
  • MBA or advanced degree preferred.

Responsibilities

  • Manage the portfolio roadmap across Data Governance, AI Governance, Privacy Engineering, Enablement, and Literacy initiatives.
  • Lead annual planning, investment prioritization, and capacity planning.
  • Collaborate with stakeholders on business cases, funding recommendations, and strategic investment proposals.
  • Identify dependencies, risks, and delivery commitments across the portfolio.
  • Partner with engineering managers and stakeholders to manage governance capabilities as enterprise products and services.
  • Drive roadmap alignment across Data & AI Readiness Engineering, Privacy by Design Engineering, and Enablement & Literacy teams.
  • Drive strategic portfolios to successful execution.
  • Define and maintain executive dashboards, scorecards, and metrics.
  • Track portfolio outcomes, including data readiness, AI readiness, onboarding efficiency, control automation, and governance adoption.
  • Identify opportunities to improve scalability, reduce friction, and increase self-service.
  • Partner with Data & AI Platform teams, Domain Engineering teams, Privacy, Legal, Cybersecurity, AI Governance, Enterprise Architecture, and business stakeholders.
  • Communicate portfolio status, priorities, risks, investment needs, and business value to leadership.
  • Drive alignment across multiple organizations and facilitate resolution of competing priorities.
  • Manage prioritization, resource planning, and dependency management.
  • Maintain portfolio-level risk, issue, and decision tracking.
  • Ensure governance capabilities are delivered as repeatable, measurable enterprise services.

Benefits

  • May be eligible for relocation benefits.
  • Eligible to participate in a company vehicle evaluation program after successful completion of a motor vehicle report review; participants are assigned a General Motors vehicle and are required to purchase or lease a qualifying GM vehicle every four years, subject to limited exceptions.
  • Incentive pay program with payouts based on company performance, job level, and individual performance.
  • Medical, dental, and vision benefit options.
  • Health Savings Account and Flexible Spending Accounts.
  • Retirement savings plan.
  • Sickness and accident benefits.
  • Life insurance.
  • Paid vacation and holidays.
  • Tuition assistance programs.
  • Employee assistance program.
  • GM vehicle discounts.
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