AI & Analytics Delivery Lead

Job description

Job Description Summary The Analytics & AI Delivery Lead for Global Services & Commercial is responsible for defining, owning, and executing the end-to-end data, analytics, and AI product delivery for Power’s Global Services & Commercial 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, Global Services & Commercial 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 Global Services & Commercial domains. As the AI Delivery Leader, this individual will oversee overall AI product delivery—from 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. Job Description 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 products—from 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 Bachelor’s 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 Global Services & Commercial 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 Global Services & Commercial 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, Global Services & Commercial 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. 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. 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 #LI-Remote - This is a remote position For candidates applying to a U.S. based position, the pay range for this position is between ₹4,779,000.00 and ₹8,876,000.00. 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 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.