AI & Analytics Delivery Lead

Analytics & AI Delivery Lead for HDNU & Nuclear

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 Power's 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 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.

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,…