Job Description

This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.

The Role

We are seeking a strategic and highly organized Portfolio Manager to lead prioritization, execution oversight, and performance management across the Enterprise Data & AI Governance, Privacy Engineering, Enablement, and Literacy portfolio. 

This role serves as an operational leader for a broad portfolio spanning Data & AI Readiness Engineering, Privacy by Design, AI Governance Engineering, Data Help, Data Literacy, Governance Platforms, and Enterprise Enablement. The Portfolio Manager ensures investments, roadmaps, resources, and outcomes remain aligned to enterprise priorities while accelerating the adoption of trusted, governed, and AI-ready data at scale.

This role is a unique opportunity to help shape the future of enterprise Data, AI, and Privacy Governance. You will work across strategy, engineering, product management, and organizational transformation to ensure governance becomes an accelerator for innovation, trusted data use, and responsible AI adoption.

What You’ll Do

Portfolio Strategy & Planning

• 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, provide funding recommendations, and strategic investment proposals.
• Identify dependencies, risks, and delivery commitments across the portfolio.

Product & Program Governance

• 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.

Performance & Adoption Management

• Define and maintain executive dashboards, scorecards, and metrics.
• Track portfolio outcomes including data readiness, AI readiness, onboarding efficiency, control automation, and governance adoption.
• Highlight opportunities to improve scalability, reduce friction, and increase self-service.

Stakeholder Engagement

• 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.

Portfolio Operations

• 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.

What Success Looks Like

• Governance capabilities are managed as products rather than standalone projects.
• Portfolio investments align to enterprise priorities and measurable business outcomes.
• Stakeholders have clear visibility into roadmap progress, value delivery, and risks.
• Adoption, automation, and self-service continue to increase across the enterprise.
• Data, AI, and Privacy Governance capabilities scale through reusable patterns, engineering solutions, and targeted enablement.

Your Skills & Abilities (Required Qualifications)

• 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.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• 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.

This job may be eligible for relocation benefits.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Compensation: 

• The expected base compensation for this role is: $160,200 - $203,250. Actual base compensation within the identified range will vary based on factors relevant to the position. 

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. 

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

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Benefits Overview

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

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