Analytics Foundry Leader

LS3002 GE Vernova Operations LLC; Atlanta (GA); On-site; USD 155,000 - 259,000; Full time

Benefits offered by this job

Medical, dental, vision, and Rx

Health Coach access

Employee Assistance Program

401(k) with company match

Tuition assistance

Adoption assistance

Paid parental leave

Disability benefits

Life insurance

12 paid holidays

Permissive time off

Job summary

GE Vernova seeks a visionary Analytics Foundry Leader to scale a fleet of predictive analytics for Gas Power. You will own the data intelligence engine, standardize AI/ML development and deployment, and drive proactive reliability across a global fleet.

You will deliver analytics that enable NPIs and RCAs, translating engineering data into tangible business value. You will supervise 20+ data scientists and engineers, shaping the roadmap, ensuring model quality, and delivering actionable insights

Qualifications

• Bachelor's degree required in a technical field.
• Minimum 10 years of progressive technical leadership across multiple disciplines.
• Minimum 5 years leading high-performing multi-disciplinary teams.
• Proven track record of taking AI/ML models from R&D/prototype to enterprise-scale deployment.

Responsibilities

• Direct a team of 20+ data scientists and engineers across the full lifecycle of digital products—from prototype to production at scale.
• Partner with Applied Reliability and Product Service Engineering to define the 'what,' and with M&D Insights Central to define the 'how.'
• Define the technical roadmap—AI/ML capabilities, data pipelines, and diagnostics—unified under the Reliability → Analytics → Diagnostics → Closure operating model.
• Govern model quality, health, and efficacy—minimizing false positives and raising signal-to-noise so teams trust analytics as a primary engineering input.
• Build, mentor, and retain a world-class team, cultivating technical rigor, curiosity, and rapid experimentation at high quality.
• Consolidate and modernize diagnostic tooling, eliminating tool sprawl while meeting cybersecurity, data integrity, and engineering standards.
• Translate technical output into business intelligence that reduces unplanned downtime and raises service value for customers.
• Champion Lean across the digital workflow, reducing cycle time from model development through deployment.

Skills

Data science leadership

AI/ML deployment

Team leadership

Cross-functional collaboration

Analytics product mindset

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, Physics, or related technical field

Advanced degree (MS/PhD) in quantitative discipline

Job description

Job Description Summary

GE Vernova brings the energy of change to the world. The Gas Power fleet runs on the trust that our analytics are right. The Analytics Foundry Leader scales a factory of insights that powers the Heavy-Duty Services Engineering organization and shifts the balance from responsive to proactive customer support. This leader runs a high-performing organization of specialized data scientists, machine learning engineers, and digital architects who turn massive, complex global fleet datasets into high-fidelity predictive analytics.

What impact you'll make: You will own the data intelligence engine for the Gas Power fleet — from prototype to production at scale. You will standardize how advanced AI/ML models are developed, validated, and deployed, enabling the Fleet Operational Intelligence organization to deliver proactive reliability globally. You will deliver Fleet Analytics that support new product introductions (NPIs) and root cause analyses (RCAs), and you will translate raw engineering data into commercial value — reduced unplanned downtime and higher service value for customers.

Essential Responsibilities

• Direct a team of 20+ data scientists and engineers across the full lifecycle of digital products — prototype to production at scale.
• Partner with Applied Reliability and Product Service Engineering to define the "what," and with M&D Insights Central to define the "how."
• Define the technical roadmap — AI/ML capabilities, data pipelines, and diagnostics — unified under the Reliability → Analytics → Diagnostics → Closure operating model.
• Govern model quality, health, and efficacy — minimizing false positives and raising signal-to-noise so teams trust analytics as a primary engineering input.
• Build, mentor, and retain a world‑class team, cultivating technical rigor, curiosity, and rapid experimentation at high quality.
• Consolidate and modernize diagnostic tooling, eliminating tool sprawl while meeting cybersecurity, data integrity, and engineering standards.
• Translate technical output into business intelligence that reduces unplanned downtime and raises service value for customers.
• Champion Lean across the digital workflow, reducing cycle time from model development through deployment.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, Physics, or a related technical field from an accredited university.
• Minimum 10 years of progressive technical leadership across multiple engineering or technology disciplines.
• Minimum 5 years leading high-performing, multi-disciplinary technical teams, including leaders of other people.
• Demonstrated track record of taking AI/ML models from R&D/prototype environments to enterprise-scale deployment within a complex industrial or services environment.

Desired Characteristics

• Advanced degree (MS/PhD) in a quantitative discipline such as Data Science, AI/ML, or Operations Research.
• Experience leading large multi-disciplinary technical organizations of 20+ professionals.
• Deep expertise in industrial IoT, predictive maintenance, or power generation services.
• Applies a product mindset to analytics — understanding that models are products that must serve a user and deliver a business outcome.
• Translates abstract technical challenges into clear strategic priorities for non-technical leadership.
• Influences cross-functional peers in Engineering and Services to adopt new digital workflows.
• Practices Lean, applying rigorous process discipline to creative and technical work.
• Leads with a servant mindset — removes blockers for a specialized team while keeping alignment to the broader business vision.
• Makes data-driven decisions and acts decisively despite ambiguity.
• Brings a One Team mentality — leads horizontally, breaks down silos, and keeps the customer outcome at the center of every decision.

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

For candidates applying to a U.S. based position, the pay range for this position is between $155,300.00 and $258,800.00.

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 November 06, 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.

Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. That is our singular mission at GE Vernova: continuing to electrify the world while simultaneously working to help decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver.

www.gevernova.com