Portfolio Manager, Data & AI Governance, Enablement & Literacy

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

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.
• E…