Position Responsibilities:AI & Data Strategy and Roadmap
• Develop and maintain the AI & Data strategy, roadmap and priority portfolio.
• Translate business priorities into AI & Data capability needs, initiatives, sequencing and outcome measures.
• Support annual strategy refresh and Book of Work planning for AI & Data initiatives.
• Develop executive proposals, business cases and decision materials for senior leadership.
• Coordinate planning across strategic initiatives such as Enterprise Data Products, AI Platform, AI Adoption, AI Champions and strategic partnerships.
Portfolio Discipline and Investment Prioritization
• Maintain a consolidated view of AI & Data initiatives, owners, funding, dependencies, risks and decisions.
• Define portfolio prioritization criteria and facilitate trade-off discussions across competing demand.
• Coordinate portfolio reviews and executive decision forums.
• Track demand, resourcing assumptions, delivery dependencies and strategic alignment.
• Drive decision logs, escalations and operating discipline across the portfolio.
Transformation Operating Rhythm
• Establish and coordinate the operating cadence for the AI & Data agenda.
• Prepare executive updates, dashboards and management materials.
• Coordinate cross-functional alignment across AI, Data, Technology, Risk, Finance, business functions and regional teams.
• Facilitate escalation of material risks, dependencies and decisions.
• Support evolution of the AI & Data operating model as business priorities mature.
Value Realization, Adoption and Engagement
• Develop benefits realization and KPI framework for AI & Data initiatives.
• Track adoption, business outcomes, productivity impact, cost avoidance and risk reduction where applicable.
• Prepare executive narratives and materials for CEO, SMT, Board, regulator and strategic partner discussions.
• Coordinate stakeholder engagement and change support for adoption-focused initiatives.
• Support communications and adoption activities for AI Champions, AI literacy and enterprise transformation initiatives.
Scope Clarification
• Owns AI & Data portfolio discipline, transformation orchestration, investment alignment, adoption planning and executive engagement.
• Does not own data platform standards, data architecture or enterprise data governance controls; these remain with the existing Data Platform & Governance leadership.
• Does not own AI platform technical controls, observability, model lifecycle or platform operations; these sit with the AI Platform Lead.
• Does not own technology delivery, data science, engineering delivery or day-to-day project management.