Portfolio Manager, Data & AI Governance, Enablement & Literacy

GM•Warren, MI

2d•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 portfolio spans Data & AI Readiness Engineering, Privacy by Design, AI Governance Engineering, Data Help, Data Literacy, Governance Platforms, and Enterprise Enablement. The role ensures investments, roadmaps, resources, and outcomes align with enterprise priorities while advancing adoption of trusted, governed, and AI-ready data. Working across strategy, engineering, product management, and organizational transformation, the Portfolio Manager helps develop governance as an accelerator for innovation, trusted data use, and responsible AI adoption. The role oversees portfolio planning and operations, partners with engineering and stakeholder teams to manage governance capabilities as enterprise products and services, and communicates progress, value, risks, and investment needs to leadership. The position is hybrid. The successful candidate is expected to report to Warren Global Technical Center at least three times per week, or more frequently if business needs dictate. The role may be eligible for relocation benefits. The position offers expected base compensation of $160,200–$203,250, with actual compensation varying based on factors relevant to the position. An incentive pay program offers payouts based on company performance, job level, and individual performance. GM does not provide immigration-related sponsorship for this role.

Requirements

At least 8 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.

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 and provide 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 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

Possible relocation benefits.
Incentive pay program with payouts based on company performance, job level, and individual performance.
Health and wellbeing benefit programs, including medical, dental, and vision 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.
Eligible participants may be assigned a General Motors vehicle to drive and evaluate through the company vehicle evaluation program, subject to program requirements.