AI Operations Specialist

The AI Operations Specialist is a staff-level role within GE Vernovas Wind Engineering AI Strategy & Transformation team. This role is accountable for operational excellence across the team ensuring that the systems processes and rhythms needed to run a high-performing AI transformation function are in place operating efficiently and continuously improving. Serving as the operational backbone of the team the Operations Leader enables the AI Portfolio Manager AI Adoption & Enablement Leader and Senior AI Architects to focus on their strategic priorities by maintaining the operational infrastructure that keeps the team aligned visible and effective. Reporting to the Director AI Strategy & Transformation this individual works across portfolio operations enablement support stakeholder coordination and cross-functional program management to ensure the team operates with discipline and consistency.

• Design implement and continuously improve standard work for team operations including meeting cadences reporting cycles intake processes and documentation standards.
• Own the teams operating calendar and ensure alignment across portfolio reviews governance checkpoints leadership briefings and cross-functional coordination sessions.
• Identify inefficiencies across team processes intake tracking reporting and communication and drive structured improvements using Lean and continuous improvement principles.
• Develop and maintain standard templates playbooks and repeatable execution frameworks that scale with team and portfolio growth.
• Lead Kaizen activities and operational excellence initiatives that improve the effectiveness and velocity of the AI transformation team.
  

• Maintain portfolio dashboards initiative trackers and status reporting assets ensuring leadership has current and accurate visibility into portfolio health.
• Coordinate governance activities including stage-gate reviews portfolio scorecards and milestone tracking ensuring they operate on schedule and with appropriate preparation.
• Track AI initiatives through lifecycle stages: opportunity identification proof of concept pilot production deployment and scaling.
• Flag risks delays and execution gaps to the AI Portfolio Manager and escalate issues requiring leadership attention.
• Prepare briefing materials summary reports and governance documentation in support of portfolio reviews.

• Track adoption metrics utilization patterns and user satisfaction data across deployed AI tools maintaining dashboards used by the Adoption Leader and Director.
• Assist with the coordination and logistics of training programs enablement sessions and AI communities of practice events.
• Help develop and maintain training content enablement materials and role-based competency resources.
• Identify adoption barriers surfaced through metrics or user feedback and ensure they are documented and actioned.
• Support communications activities including AI newsletters awareness campaigns and change management content.

• Conduct landscape analysis on AI tools vendor capabilities and industry practices to inform investment and adoption decisions.
• Synthesize portfolio performance data adoption metrics and stakeholder feedback into actionable insights and leadership-ready recommendations.
• Support business case development for new AI initiatives including value quantification cost-benefit framing and risk assessment.
• Prepare executive briefings board-level presentations and governance documentation on behalf of the Director and team.
• Research legal ethical and organizational dimensions of AI deployment in industrial engineering contexts.

• Serve as a coordination point between Engineering Digital Finance ARC Foundry and HR teams on AI initiatives and enablement programs.
• Facilitate cross-functional working sessions ensuring participants are prepared agendas are clear and outcomes are documented.
• Prepare and distribute team communications that build organizational awareness and trust in AI tools and initiatives.
• Partner with embedded AI Architects and engineering leads to understand workflow needs and surface priorities for the broader team.

Required qualifications:

• Bachelors degree in a relevant field required; MBA or advanced degree preferred (graduate-level coursework in AI business analytics technology strategy or organizational management highly preferred).
• 3 years of experience in operational excellence program coordination or transformation support within a complex technical or matrixed organization.
• Proven ability to synthesize complex data into actionable insights and leadership-ready recommendations (demonstrated through 3 years of professional experience).
• 2 years of experience working with data and analytics tools including the development of dashboards performance reporting and identifying trends.

Preferred Qualifications

• Strong analytical and quantitative skills with the ability to synthesize information into clear insights and leadership-ready recommendations.
• Excellent written and verbal communication skills with experience preparing materials for senior and executive audiences.
• Proven ability to manage multiple competing priorities maintain accuracy under time pressure and deliver consistently in ambiguous environments.
• Collaborative working style with experience building relationships across functions and influencing without direct authority.
• Comfort with data and analytics including dashboards trend analysis and performance reporting.

For candidates applying to a U.S. based position the pay range for this position is between $89300.00 and $148700.00. 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 candidates 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 17 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.