AI & Analytics Delivery PMO

About this role

Job Description Summary The AI & Analytics Delivery PMO is responsible for leading end-to-end delivery governance, portfolio execution, integrated planning, and operational management across Analytics and AI initiatives within Power. This leadership role establishes the operating mechanisms required to manage a complex portfolio of Big Swing and non-Big Swing AI initiatives, while ensuring strong alignment across AI Strategy, Power AI Delivery, business AI program leaders, Data & Analytics teams, and strategic delivery partners.

Serving as the central orchestration point for Data, Analytics, and AI delivery across Power, this leader will establish delivery governance, operating rhythms, portfolio visibility, Program Increment (PI) planning, capacity and dependency management, and consistent execution standards. The role will translate prioritized demand and strategic roadmaps into executable delivery plans, ensuring the appropriate capacity, capabilities, sequencing, and governance are in place to deliver committed outcomes with quality and predictability.

As the Release Train Engineer (RTE) for initiatives owned by the Power AI Delivery team, this individual will lead overall PI governance in partnership with Scrum Masters, facilitate cross-team planning and synchronization, proactively manage risks and dependencies, remove systemic impediments, and drive continuous improvement across the delivery organization. The role will partner closely with business AI program managers and delivery teams to establish clear accountability, strengthen execution discipline, and ensure predictable, on-time delivery from Proof of Concept through production deployment and adoption.

Beyond AI delivery, the AI & Analytics Delivery PMO will provide integrated governance across Business Intelligence and Data delivery, ensuring that foundational data, analytics, and reporting initiatives remain aligned with AI priorities and the broader Power Data & Analytics roadmap.

Job Description Roles and Responsibilities In this role, you will: • Data, Analytics & AI Portfolio Delivery Governance: Establish and lead the overall delivery governance framework for Data, Analytics, and AI initiatives across Power, including both Big Swing and non-Big Swing AI programs. Partner with the AI Foundry, AI Strategy Portfolio team to translate portfolio priorities into disciplined execution while maintaining clear ownership between strategy, business sponsorship, and delivery. • Program Increment & Integrated Capacity Planning: Own and facilitate the Program Increment planning process for Power AI-delivered programs. Translate prioritized demand and product roadmaps into integrated capacity plans across internal teams and strategic partners, balancing business priorities, available skills, delivery constraints, and committed timelines. • Release Train Engineer Leadership: Serve as the Release Train Engineer Lead for AI initiatives delivered by the Power AI Delivery team. Lead PI Planning, ART synchronization, program-level execution rhythms, dependency resolution, risk management, retrospectives, and continuous-improvement activities to improve delivery predictability and organizational velocity. • End-to-End Delivery Management: Partner with business AI program managers, technical delivery leaders, and strategic partners to ensure initiatives progress effectively through the full delivery lifecycle—from data readiness and Proof of Concept through MVP, production deployment, and operational transition—with appropriate quality, governance, and accountability at each stage. • Delivery Performance & Quality Management: Establish clear delivery milestones, quality gates, KPIs, and portfolio health measures. Monitor schedule, scope, capacity, risks, dependencies, and delivery quality, proactively identifying execution gaps and driving corrective actions before they impact business commitments. • Cross-Program Dependency & Risk Management: Maintain an integrated view of dependencies across AI, Data, BI, architecture, platforms, cybersecurity, infrastructure, ERP, and other enabling teams. Proactively identify systemic impediments, facilitate resolution across organizational boundaries, and escalate critical risks where leadership intervention is required. • Business & Cross-Functional Partnership: Build strong partnerships with business AI program managers, AI Strategy, Data & Analytics teams, Digital Technology, OCIO, functional leaders, and strategic delivery partners to align priorities, roles, expectations, and execution plans. • Data & Analytics Delivery Governance: Provide portfolio-level governance and execution oversight for Business Intelligence, Data, and Analytics delivery across Power, ensuring that foundational data and analytical capabilities are delivered with appropriate quality, scalability, and alignment to business and AI priorities. • Integrated AI, Data & BI Roadmap Alignment: Ensure AI initiatives are appropriately connected to underlying Data and BI roadmaps. Identify common capabilities, shared data dependencies, reusable data products, and opportunities to reduce duplicated investments while improving scalability across the Power portfolio. • AI Production Readiness & Operational Transition: Define and enforce production-readiness requirements for AI solutions, ensuring clear ownership, operational support models, monitoring, documentation, service expectations, and transition criteria are established prior to production deployment. • Portfolio Operating Rhythm & Executive Visibility: Establish consistent portfolio operating rhythms and executive-level reporting that provide transparent visibility into delivery health, capacity, milestones, risks, dependencies, quality, resource constraints, and required decisions. Manage Big swing AI Delivery Bowler for regular leadership update • Demand-to-Delivery Alignment: Partner with the AI Strategy Portfolio team and business stakeholders to ensure approved demand is

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