Purpose:

As Associate Director, AI Strategy and Planning, you are responsible for driving AI strategy and governance across Operations and ensuring alignment with enterprise AI priorities. You lead cross-Operations planning processes, including annual PLAN and LRP, by partnering with AI Directors and AI Engineers to intake, scope, and prioritize new use cases. The role serves as a key interface to the Enterprise AI SteerCo and provides updates to senior leadership forums, including the Operations SLT and Operations AI SteerCo. You create frameworks and internal processes to support use case evaluation, prioritization, vendor selection, and delivery readiness, while working with business and technical partners to define initial value estimates and establish routine tracking processes to measure progress and impact. 

Responsibilities

• Drive AI governance across Operations, ensuring alignment to enterprise AI strategy, decision-making forums, and cross-functional priorities.
• Develop materials and provide clear, concise updates to senior leadership, including the Operations SLT and AI SteerCo, to support transparency, escalation, and decision making.
• Serve as a key interface with the Enterprise AI SteerCo, coordinating inputs, feedback, dependencies, and follow-up actions across Operations stakeholders.
• Lead the annual PLAN and LRP processes for AI initiatives, partnering with AI Directors and AI Engineers to intake, assess, and prioritize new use cases and investment opportunities.
• Create and continuously improve frameworks, governance standards, and internal processes for use case scoping, prioritization, business case development, and delivery readiness.
• Support evaluation and selection of external vendors and partners by defining assessment criteria, facilitating cross-functional reviews, and ensuring alignment to business needs and governance requirements.
• Partner with AI Directors, AI Engineers, and business stakeholders to define initial value estimates, success metrics, and assumptions for new AI use cases.
• Establish and manage routine mechanisms for tracking portfolio progress, value realization, risks, issues, and decisions, and communicate insights to relevant stakeholders.
• Identify process improvement opportunities that strengthen AI portfolio management, governance maturity, scalability, and adoption across Operations.