**Job Description Summary**

The Data & AI Delivery Manager is responsible for coordinating and supporting the delivery of data, analytics, and AI solutions for an assigned Power business area. This role helps ensure that projects are completed on schedule, within budget, and in accordance with established quality and technical standards.

The individual will work with business stakeholders, Digital Technology teams, data and analytics teams, application teams, and delivery partners to understand requirements and translate business needs into practical data and AI solutions. Responsibilities include coordinating delivery activities, managing priorities and dependencies, supporting user adoption, and monitoring solution performance after implementation.

The role will also support the end-to-end AI delivery lifecycle, including data-readiness activities, proof-of-concept execution, MVP development, production deployment, and transition to ongoing support. The individual will help ensure that data and AI solutions are aligned with business priorities, operational requirements, and enterprise standards.

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, DT, 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 analytical 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 of Science in Engineering, Physics, Chemistry, Mathematics, Computer Science, or a related field, with an expected graduation date of December 2026 or May 2027.
• Demonstrated success leading transformation initiatives, including organizational change management and the delivery of measurable business outcomes.

Desired Characteristics

• Technical Foundation: Foundational knowledge of data and analytics tools such as Power BI, Tableau, SQL, Excel, SAP, Oracle, or Databricks gained through coursework, internships, academic projects, or pr…