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Jobs3 LocationsServices AI Portfolio and Governance Leader

Services AI Portfolio and Governance Leader

GE Vernova
AI GovernanceOn-siteFull-time3 Locations$114,100

GE Vernova is hiring for the job of Services AI Portfolio and Governance Leader, 3 Locations (On-site). This is an AI Governance job in the governance, risk, and compliance field, with a posted range of $114,100. Review the full details below and apply directly with GE Vernova.

Organization: GE VernovaLocation: 3 LocationsWorkplace: On-siteFocus: AI GovernanceSalary: $114,100Posted: Sep 19, 2026
GE Vernova is hiring for this AI Governance job in 3 Locations, one of the metros GRC Careers tracks for governance, risk, and compliance hiring.

Job Description Summary Job Description The Services AI Portfolio and Governance Leader provides strategic oversight and program management across the full portfolio of AI initiatives within Gas Power Services. This role bridges strategy and execution, owning the centralized intake process, measuring value realization and ROI, establishing AI governance standards within Gas Power Services, and ensuring consistent program execution frameworks are in place. Partnering with GenAI Process Managers, IT/Digital Transformation (DT), and business stakeholders, this leader drives cross-portfolio visibility, eliminates duplication, documents standard work, and enables organizational transformation through training, upskilling, and content development. This individual will serve as the connective tissue across the Services AI program, ensuring initiatives are prioritized, governed, measured, and delivering measurable business impact at scale. Essential Duties Responsibilities: AI Portfolio Program Management: Provide cross-portfolio visibility across all Services AI initiatives; manage the AI initiative pipeline, track milestones, dependencies, and delivery timelines; own program-level status reporting and executive dashboards for senior leadership. Intake Process Demand Management: Own and operate the centralized intake process for new AI use cases and requests; evaluate, prioritize, and route incoming ideas; identify duplicate submissions and opportunities to merge or consolidate efforts across the portfolio to maximize impact and reduce redundancy. Value Realization ROI Measurement: Define and track adoption metrics, AI token spend versus business value delivered, and cost-benefit analysis per initiative; build and maintain portfolio health and ROI dashboards; present value realization insights to leadership and drive corrective actions when benefits lag. AI Governance Standards: Serve as the AI Governance lead for Services AI; establish and enforce standards for responsible AI usage, data handling, model management, and solution lifecycle governance across all initiatives; partner with DT and enterprise governance stakeholders to ensure compliance with GEV AI policies. Standard Work Process Documentation: Document and maintain standard operating procedures, playbooks, and repeatable frameworks for AI solution delivery, change management, and program execution; ensure the team operates from a consistent, documented methodology that scales across initiatives. Discovery AI Transformation Management: Lead discovery and ideation processes to identify high-value AI transformation opportunities across the business; facilitate design thinking sessions and structured assessments with business stakeholders to build and maintain a prioritized transformation roadmap. Training, Upskilling Content Development: Partner with GenAI Process Managers and subject matter experts to create training content, enablement materials, and upskilling programs that build AI literacy and practical capability across the Gas Power Services organization; coordinate content calendars and delivery cadences. Required Qualifications Experience: Bachelor’s degree in Business, Engineering, Computer Science, or related discipline 6 years of experience in program/portfolio management, digital transformation, or operational leadership in a complex, matrixed organization Strong project management skills with demonstrated ability to manage multiple concurrent initiatives across cross-functional teams Demonstrated experience defining and tracking portfolio-level KPIs, adoption metrics, and ROI measurement Experience establishing governance frameworks, standards, or compliance programs Desired Characteristics: English proficiency required Past experience with Python or GenAI techniques and tools Experience in Services, Field Services, Supply Chain, or industrial operations environments Experience with Field Service outage planning processes, familiar with resource, tooling, sourcing, training processes PMI Project Management Professional (PMP) certification or equivalent Past experience as Service Manager, Outage Manager, or CPM Knowledge of Services products, processes, customer requirements, and budgeting/financial processes Strong systems experience across Services domain Experience building and managing intake processes, portfolio dashboards, or PMO functions Strong oral and written communication skills Strong interpersonal and leadership skills Strong organizational skills Change agent with strong credibility and influence in the organization Demonstrated commitment for process improvement Six Sigma Green/Black Belt certification or equivalent quality certification Formal Lean Training/certification…Value Stream Mapping and Daily Management Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No #LI-Remote - This is a remote position For candidates applying to a U.S. based position, the pay range for this position is between $114,100.00 and $190,200.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on September 15, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Location and market context

This job is based in 3 Locations on-site. Local candidates benefit from being close to GE Vernova's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About AI governance jobs

AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Jobs like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.

How to position yourself for this AI governance job

Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how GE Vernova would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.

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