GE Vernova
HR AI Enablement & Innovation Program Manager
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HR AI Enablement & Innovation Program Manager
HR AI Enablement & Innovation Program Manager
Job Description Summary
At GE Vernova, we accelerate the energy transition by helping the world electrify and decarbonize. As the HR function evolves, we’re embedding AI into how we serve people—transforming how our people leaders, employees, business partners, and HR teams operate. Our HR function is shifting from experimentation to disciplined AI adoption.
We’re hiring an HR AI Enablement & Innovation Program Manager to drive AI fluency across HR, scale practical AI solutions, and foster self-learning across the function. This role sits within HR Enablement & Simplification, partnering HR teams with AI capabilities that enhance their work.
This is for a builder—someone who can shape the future of AI in HR, lead a function-wide community, and develop working AI prototypes within HR while collaborating closely with AI governance, workforce transformation, and Workday AI enablement leaders.
Role Summary
The HR AI Enablement & Innovation Program Manager leads three core workstreams:
- AI Fluency & Skill-Building – Ensures HR teams have the foundational and advanced AI knowledge to apply generative AI, responsible AI practices, and prompt engineering.
- HR AI Community of Practice (CoP) – Establishes and sustains a collaborative network for HR professionals to share learnings, boost adoption, and scale innovations.
- HR AI Innovation & Use Case Incubation – Identifies, prototypes, and implements HR-focused AI solutions that solve real problems (e.g., knowledge retrieval, analytics, decision support).
This role partners with:
- AI Governance Project Manager (AI ethical guardrails)
- AI Workforce Transformation Project Manager (Organizational Design & Lean adoption)
- Workday AI Enablement Lead (Workday-native AI technologies)
Together, these four roles form GE Vernova’s HR AI adoption operating model.
Key Responsibilities
1. HR AI Fluency & Skill-Building
✔ Own the HR function’s AI learning roadmap, evolving from foundational concepts to advanced generative AI application across HR Client Support, Centers of Excellence (COEs), and leadership. ✔ Define AI-specific HR capabilities for prompt engineering, agent orientation, responsible use, data interpretation, and human-in-the-loop judgment. ✔ Collaborate with HR4HR and Learning & Development teams to integrate AI training into existing development programs—avoiding redundant new initiatives. ✔ Curate high-quality external AI content, adapting it for GE Vernova’s HR use cases with a focus on hands-on, continuous learning. ✔ Increase responsible use of Copilot, Workday Amp (AMP), and other HR AI tools across the function.
2. HR AI Community of Practice
✔ Build and lead the HR AI CoP, including:
- Set working rhythm, content strategy, and participant engagement model.
- Host monthly working sessions and quarterly prototyping showcases to drive collective progress.
- Establish a peer champion network across HR COEs and Client Support teams to ensure consistent governance and rapid adoption.
- Maintain a shared library of best practices, prototypes, use cases, prompts, and lessons learned to enable rapid replication. ✔ Measure community health via:
- Participation metrics, contribution volume, use case adoption, and skill progression.
- ** Betriebklima** assessment (organisational health indicators).
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3. HR AI Innovation & Use Case Incubation
✔ Work with HR COEs and Client Support to identify real-world HR problems (e.g., service delays, knowledge gaps, analytics bottlenecks) and approx use-case solutions. ✔ Implement a lightweight intake model to route use cases to the right delivery path:
- Workday AI (via Workday AI Enablement Lead)
- Enterprise tools (via this role)
- Custom development (via Digital Transformation – DT teams)
- Not ready (via AI Governance Team) ✔ Run a working HR AI prototype portfolio:
- Pilot and test Citizen Developer initiatives (low-code/low-tech solutions).
- Gradient use cases into sustained capabilities.
- Emphasize effective experimentation over perfection. ✔ Distinguish HR-specific innovations (this role’s scope) vs. enterprise-wide AI transformation (partnership with AI Workforce Transformation Project Manager).
4. Cross-Role Partnership & Operating Discipline
✔ Maintain clear role boundaries with:
- AI Governance Project Manager (work with to prevent adverse AI impacts in HR).
- AI Workforce Transformation & Organizational Design Project Manager for enterprise-wide AI adoption.
- Workday AI Enablement Lead to ensure Workday Playaduaktate (integration paths). ✔ Develop a Ge Vernova HR AI Maturity Model tracking:
- Fluency levels, adoption rates, innovation stage, and value realization. ✔ Answer adoption KPIs, skill progression, and ROI from HR AI investments. ✔ Monitor external trends in HR AI and translate insights into actionable recommendations for GE Vernova. ✔ Review labor/counsel-led reviews on AI-generated HR recommendations, prompts, or guidance before publication.
Qualifications & Experience
Education
- Bachelor’s degree required in Human Resources, Organizational Development, Learning, Business, Technology, or related field.
- Advanced degree (Master’s or PhD) in specifications eligible areas (not mandatory but preferred).
Professional Experience
- Minimum 3-5 years in:
- HR Enablement, Learning and Development, HR Transformation, Change Management, or Enterprise Program Management.
- Hands-on AI fluency – familiarity with:
- Generative AI tools (Copilot, Claude, ChatGPT, Workday AI).
- Responsible AI practices, prompt engineering, and ethical AI deployment.
- Plus:
- Experience in building and scaling capability-building programs with Learning and Development teams.
- Strong facilitation, community development, and stakeholder engagement skills.
- Cross-functional leadership without direct authority.
- Analytical mindset, disciplined execution, and preference for hard measurability.
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Preferred Experience
- Successfully worked in a large, matrixed, global organization.
- Background in HR Analytics, HR Technology (Workday HCM), HR Operations, or HR Learning.
- Experience in:
- CoPs, citizen developer programs, or community-led innovation models.
- Instructional design or adult learning frameworks.
- Enterprise AI governance frameworks (Gartner MPIV).
What Success Looks Like – Ideal Candidate Traits
✦ A builder – Able to pivot from ambiguous opportunities toward structured, repeatable practice. ✦ A connector – Makes seamless transitions from HR practitioner needs → technical teams → leadership lens. ✦ Copability with uncertainty – Thrives in the “messy middle” of AI adoption, where practices and uses are still emergent, and prototypes outnumber polished solutions. ✦ Earning and elevating work – Passionate about helping others improve their confidence, skills, and judgment in a fast-moving field. ✦ Results-focused – Disciplined evaluator, prioritizes measurement, value realization, and repeatable rhythm.
Additional Notes
- ✅ Applications from seekers needing UK work sponsorship are welcomed and considered alongside others **”.
- ❌ Non-EU/EEA candidates cannot be recruited if a qualified EU citizen holds the job (UK resident labour law enforcement). Visit Work in the UK - UK Government for sponsor eligibility details.
- No relocation assistance provided for this remote role.
- Application close date: 09 July 2026.
About GE Vernova’s Mission
"Electrify and decarbonize the world"
GE Vernova’s name crosses a double promise:
- “GE”: Stands for enduring excellence, quality, and innovation (our identity).
- “Nova(verde)”: Nods to earth-friendly green grass/ecosystem (verde) and a new, lower-carbon energy era *(Nova from “novus” (Latin for new)**).
As a global e pionier for ultra-low emissions energy, we demand bold climate action—not just words, but tangible, systemic change. Every day, we work to merge engineering with collective responsibility because a meaningful energy future depends on it.
Learn more: www.gevernova.com.
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