AI & Analytics Delivery Lead
About The Position
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.
Requirements
- 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.
- 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.
- Strong understanding of Global Services & Commercial value streams and the integration of transactional and analytical data to enable actionable insights and measurable business value.
- 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.
- 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.
- 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.
- Strong commitment to enterprise standards and controls, including cybersecurity, SOX compliance, data governance, privacy, application controls, and regulatory requirements.
- 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.
- 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.
Nice To Haves
- Familiarity with cloud, big data, and AI/ML technologies, including AWS, Python, Spark, and Java, is highly desirable.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
- Drive simplification, standardization, and delivery rigor by facilitating workshops and implementing improvements across tools, processes, and workflows.
- Translate complex business needs into well-defined features, user stories, acceptance criteria, and prioritized product backlogs using agile or hybrid delivery methodologies.
- Ensure that all analytics and AI solutions comply with enterprise standards for data quality, architecture, cybersecurity, internal controls, privacy, and regulatory requirements.
- Establish robust standard work, simplify complex delivery processes, and continuously optimize analytical platforms and operating models for scalability, reliability, and performance.
- Define product KPIs, monitor adoption and user feedback, identify performance trends, and drive continuous product enhancements that deliver measurable business outcomes.
- 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.
Benefits
- medical, dental, vision, and prescription drug coverage
- access to Health Coach from GE Vernova, a 24/7 nurse-based resource
- access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
- 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
- tuition assistance
- adoption assistance
- paid parental leave
- disability benefits
- life insurance
- 12 paid holidays
- permissive time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
