Analytics Foundry Leader

GE Vernova, Inc.; Atlanta (GA); In loco; USD 155.000 - 259.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical coverage

Dental coverage

Vision coverage

401(k) matching

Descrizione del lavoro

GE Vernova, Inc. seeks a visionary Analytics Foundry Leader to scale a team of data scientists and engineers, turning massive datasets into predictive analytics for the Heavy-Duty Services Engineering organization.

The role focuses on standardizing AI/ML development, validation, and deployment, delivering proactive reliability globally and driving business value through analytics across NPIs and RCAs.

Competenze

• Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics or Physics.
• Minimum 10 years of progressive technical leadership across multiple disciplines.
• Minimum 5 years leading high-performing, multi-disciplinary technical teams.
• Experience taking AI/ML models from R&D to enterprise-scale deployment.

Mansioni

• Direct a team of 20+ data scientists and engineers from prototype to production at scale.
• Partner with Reliability and Product Service Engineering to define what and how.
• Define the technical roadmap for AI/ML capabilities, data pipelines, diagnostics.
• Govern model quality, health, and efficacy to minimize false positives.
• Build and retain a world-class, rigorous, curious team with rapid experimentation.
• Consolidate and modernize diagnostic tooling while meeting cybersecurity standards.
• Translate technical output into business intelligence to reduce downtime.
• Champion Lean across the digital workflow to shorten deployment cycles.

Conoscenze

Technical leadership

Data science

AI/ML deployment

Team mentoring

Formazione

Bachelor's degree or higher

Descrizione del lavoro

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. Success demands deep technical expertise, a relentless focus on quality and value, and the ability to build and retain world‑class data talent

Job Description

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.