{"id":3920364,"url":"https://alion.io/job/ge-vernova-analytics-foundry-leader","title":"Analytics Foundry Leader","company":{"id":6165,"name":"GE Vernova","domain":"gevernova.com","url":"https://alion.io/company/ge-vernova","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":427,"ghost_share":0.014,"stale_share":0.628,"repost_share":0.056,"time_to_fill_p50_days":27,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Atlanta, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":155300,"max":258800,"currency":"USD","period":"year","gross":null,"usd_annual":258800},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-09T20:44:30Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Description Summary\nGE 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.\nWhat impact you'll make:\nYou 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\nJob Description\nEssential Responsibilities\nDirect a team of 20+ data scientists and engineers across the full lifecycle of digital products - prototype to production at scale.\nPartner with Applied Reliability and Product Service Engineering to define the \"what,\" and with M&D Insights Central to define the \"how.\"\nDefine the technical roadmap - AI/ML capabilities, data pipelines, and diagnostics - unified under the Reliability → Analytics → Diagnostics → Closure operating model.\nGovern model quality, health, and efficacy - minimizing false positives and raising signal-to-noise so teams trust analytics as a primary engineering input.\nBuild, mentor, and retain a world-class team, cultivating technical rigor, curiosity, and rapid experimentation at high quality.\nConsolidate and modernize diagnostic tooling, eliminating tool sprawl while meeting cybersecurity, data integrity, and engineering standards.\nTranslate technical output into business intelligence that reduces unplanned downtime and raises service value for customers.\nChampion Lean across the digital workflow, reducing cycle time from model development through deployment.\nRequired Qualifications\nBachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, Physics, or a related technical field from an accredited university.\nMinimum 10 years of progressive technical leadership across multiple engineering or technology disciplines.\nMinimum 5 years leading high-performing, multi-disciplinary technical teams, including leaders of other people.\nDemonstrated track record of taking AI/ML models from R&D/prototype environments to enterprise-scale deployment within a complex industrial or services environment.\nDesired Characteristics\nAdvanced degree (MS/PhD) in a quantitative discipline such as Data Science, AI/ML, or Operations Research.\nExperience leading large multi-disciplinary technical organizations of 20+ professionals.\nDeep expertise in industrial IoT, predictive maintenance, or power generation services.\nApplies a product mindset to analytics - understanding that models are products that must serve a user and deliver a business outcome.\nTranslates abstract technical challenges into clear strategic priorities for non-technical leadership.\nInfluences cross-functional peers in Engineering and Services to adopt new digital workflows.\nPractices Lean, applying rigorous process discipline to creative and technical work.\nLeads with a servant mindset - removes blockers for a specialized team while keeping alignment to the broader business vision.\nMakes data-driven decisions and acts decisively despite ambiguity.\nBrings a One Team mentality - leads horizontally, breaks down silos, and keeps the customer outcome at the center of every decision.\nAdditional Information\nGE 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.\nGE 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).\nRelocation Assistance Provided: No\nFor 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. 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