AI & Analytics Delivery Lead

The Analytics & AI Delivery Lead for HDNU & Nuclear is responsible for defining owning and executing the end-to-end data analytics and AI product delivery for Powers HDNU & Nuclear organization. This leadership role ensures that analytical and AI products are delivered on time within budget and to high-quality standards while generating measurable business value.

Serving as a strategic bridge across executive business stakeholders Digital Technology analytics operations AI Foundry HDNU & Nuclear teams the leader will establish the product vision define complex business and technical requirements and translate business priorities into scalable user-centric Analytics and AI solutions. The role will orchestrate cross-functional delivery drive adoption and integration into day-to-day operations and continuously improve product performance across the HDNU & Nuclear domains.

As the AI Delivery Leader this individual will oversee overall AI product deliveryfrom data readiness assessments and Proof-of-Concept execution through MVP delivery production deployment and operational transition. By combining deep business-process understanding with strategic roadmap ownership and disciplined delivery oversight the leader will ensure that data and AI investments remain aligned with operational priorities customer needs and evolving market opportunities.

Roles and Responsibilities

In this role you will:

• AI Data Readiness and Delivery: Partner with the AI Strategy Data Science and AI Architecture teams to lead data-readiness activities technical execution of proofs of concept MVP development and the scaling of validated solutions into high-impact production-grade AI products.
• AI Strategy and Demand Management: Partner with the AI Strategy Portfolio team to build and maintain a strong demand pipeline establish effective intake and prioritization processes and enable a stable scalable AI delivery model.
• Data and Analytics Strategy and Lifecycle Ownership: Partner with Data Architects to define and execute the end-to-end roadmap for data analytics and AI productsfrom ideation and proof of concept through MVP delivery production deployment and ongoing product optimization.
• Partner and Capacity Management: Translate demand and priorities from the agile planning process into actionable capacity plans. Lead the Program Increment planning process and work with OCIO and strategic partners to onboard the right resources and capabilities for both analytics and AI delivery.
• Cross-Functional Leadership: Serve as the primary liaison among executive stakeholders Digital Technology business operations and delivery partners to align requirements priorities and execution with strategic business objectives.
• Operational Excellence: Drive simplification standardization and delivery rigor by facilitating workshops and implementing improvements across tools processes and workflows.
• Requirements and Backlog Management: Translate complex business needs into well-defined features user stories acceptance criteria and prioritized product backlogs using agile or hybrid delivery methodologies.
• Data Risk and Compliance Governance: Ensure that all analytics and AI solutions comply with enterprise standards for data quality architecture cybersecurity internal controls privacy and regulatory requirements.
• Standard Work and Platform Optimization: Establish robust standard work simplify complex delivery processes and continuously optimize analytical platforms and operating models for scalability reliability and performance.
• Performance Monitoring and Value Realization: Define product KPIs monitor adoption and user feedback identify performance trends and drive continuous product enhancements that deliver measurable business outcomes.
• Automation and Productivity: Identify opportunities to automate manual activities improve end-to-end process and data lineage and partner with enterprise data organizations to increase delivery efficiency and overall team productivity.

Qualification

• Bachelors degree in Business Computer Science or a STEM-related field including Science Technology Engineering or Mathematics.
• Minimum of ten years of experience in data management business intelligence data analytics or a related discipline.
• Minimum of eight years of technical experience with demonstrated leadership across multiple functions and disciplines within a product or delivery organization.
• Experience with HDNU & Nuclear platforms and applications.
• Demonstrated success leading at least two significant transformation initiatives including organizational change management and the delivery of measurable business outcomes.

Desired Characteristics

• Technical Proficiency: Demonstrated experience working in Agile and SAFe environments with strong knowledge of enterprise data and analytics technologies such as Power BI Tableau SQL SAP Oracle and Databricks. Familiarity with cloud big data and AI/ML technologies including AWS Python Spark and Java is highly desirable.
• Business and Domain Expertise: Strong understanding of HDNU & Nuclear value streams and the integration of transactional and analytical data to enable actionable insights and measurable business value.
• AI and Analytics Strategy: Solid knowledge of data governance master data management and the end-to-end AI and machine learning lifecycle including data readiness proof-of-concept execution MVP development production deployment and ongoing optimization.
• Strategic Leadership: Proven ability to lead transformation navigate competing priorities influence senior stakeholders and translate complex technical concepts into clear actionable insights for non-technical business leaders.
• Cross-Functional Collaboration: Demonstrated ability to build inclusive high-performing teams and collaborate effectively across Digital Technology HDNU & Nuclear and other functional organizations to align product strategy with operational priorities.
• Governance and Risk Management: Strong commitment to enterprise standards and controls including cybersecurity SOX compliance data governance privacy application controls and regulatory requirements.
• Process Improvement: Experience applying Lean principles structured problem-solving and continuous-improvement methodologies to simplify processes establish standard work and improve the scalability and performance of the product portfolio.
• Influential Communication: Exceptional interpersonal and communication skills with the ability to mentor and energize teams establish a shared vision build alignment and maintain momentum through complex technical and organizational challenges.

This role requires access to U.S. export-controlled information. If applicable final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

GE 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.

This role requires access to U.S. export-controlled information. If applicable final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

For candidates applying to a U.S. based position the pay range for this position is between $137700.00 and $229600.00. 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 03 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.