AI Strategy & Transformation Operations Leader

GE Vernova; South Carolina; On-site; USD 140,000 - 210,000; Full time

Job summary

GE Vernova seeks an AI Strategy & Transformation Operations Leader to partner with the Director. You will own operating rhythms, standard work, and the MOR for Wind Engineering, while guiding Agile execution for AI Architects and coordinating across engineering and support functions.

You will drive disciplined execution, senior stakeholder alignment, and measurable improvements in efficiency and effectiveness of the AI transformation program.

Qualifications

• Bachelor's degree in a relevant field; MBA or advanced degree preferred with AI, analytics, or organizational management coursework.
• 7+ years in operational excellence, business operations, program coordination, or transformation in a complex tech or matrixed org.
• 5+ years of experience with data and analytics, including dashboards, trend analysis, and performance reporting.

Responsibilities

• Own operational excellence for the AI Strategy & Transformation team, establishing cadence and standard work.
• Lead monthly operating reviews and define KPIs for delivery, adoption, value, and health.
• Act as Scrum Master for AI Architects, guiding agile ceremonies and sprint planning.
• Coordinate cross-functional initiatives across Engineering, Digital, Finance, ARC Foundry, and HR.

Skills

Analytical thinking

Communication skills

Prioritization

Agile/Lean practices

Education

Bachelor's degree in a relevant field

MBA or advanced degree preferred

Job description

Job Description Summary

The AI Strategy & Transformation Operations Leader is a staff-level role within GE Vernova's Wind Engineering AI Strategy & Transformation team. Working as the Director's partner in running the organization, 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. Rather than supporting individual roles, the Operations Leader owns how the team operates as a whole: setting the operating cadence, connecting priorities across the AI Portfolio Manager, AI Adoption & Enablement Leader, and AI Architects, and raising the effectiveness of each through disciplined execution. Reporting to the Director, AI Strategy & Transformation, this individual extends the Director's reach across portfolio operations, enablement, stakeholder coordination, and cross-functional program management so the team operates with discipline, consistency, and clear accountability.

Job Description

Key Responsibilities

Own Operational Excellence for the AI Strategy & Transformation Team

• Owns the operating rhythms and standard work that let the team run with consistency and focus on high-value work.
• Establish and improve standard work for meeting cadences, reporting, intake, and documentation.
• Own the team's operating calendar and leadership agenda with the Director.
• Lead Kaizen and Lean improvements to remove process inefficiencies.
• Build scalable templates, playbooks, and execution frameworks.
• Track team health indicators and capture lessons learned and decision records.

Lead the Monthly Operating Review and Performance Management System

• Owns the performance management system that connects strategy to execution and gives leadership a clear view of progress.
• Lead Wind Engineering's Monthly Operating Review (MOR), from agenda and pre-reads through follow-through.
• Define Key Performance Metrics for delivery, adoption, value, and operational health, with clear owners and targets.
• Manage the AI Bowler, flag off-track items, and drive countermeasures to closure.
• Apply Lean daily management (tiered huddles, visual management, A3) to close gaps quickly.
• Track risks and dependencies, elevate as needed, and evolve the review framework over time.

Serve as Scrum Master for the AI Architects

• Leads Agile execution for the AI Architects, keeping sprint work planned, focused, and delivering steady progress.
• Facilitate Agile ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
• Coordinate sprint plans and dependencies across AI Architects so that priorities line up with the AI Portfolio.
• Work with the AI Portfolio Manager to keep the backlog groomed, prioritized, and ready for upcoming sprints.
• Remove impediments and shield the team from distractions so they can stay focused on delivery.
• Track velocity, sprint commitments, and delivery metrics, and continuously improve the team's Agile practices.

Connect the Team Across the Organization

• Keeps stakeholders aligned and initiatives moving across organizational boundaries.
• Coordinate AI initiatives across Engineering, Digital, Finance, ARC Foundry, and HR.
• Facilitate cross-functional sessions and track action items and blockers to closure.
• Deliver team communications that build awareness and trust in AI initiatives.
• Maintain an integrated view of priorities and dependencies across AI Architects and engineering leads.

Required Qualifications

• Bachelor's degree in a relevant field; MBA or advanced degree preferred, particularly with coursework in AI, business analytics, technology strategy, or organizational management.
• 7+ years of experience in operational excellence, business operations, program coordination, or transformation roles within a complex technical or matrixed organization.
• 5+ years of experience with data and analytics, including dashboards, trend analysis, and performance reporting.

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.
• Familiarity with AI development concepts including model lifecycle, generative AI applications, or AI governance frameworks.
• Experience applying Lean, Six Sigma, Agile, or continuous improvement methodologies to operational or program management challenges.
• Exposure to change management, technology adoption, or organizational learning principles.
• Experience within industrial, engineering, energy, or manufacturing envi