Program Director, Data & Analytics

Key Responsibilities

• Drive AI-first adoption across Data & Analytics, identifying and implementing opportunities for AI, automation, and agent-based workflows to transform analytics and team operations
• Run operating rhythms (planning, OKRs, delivery tracking, reporting) to drive alignment, accountability, and transparency across Data & Analytics, ensuring OKRs are clearly defined, aligned across teams, and tracked with measurable outcomes
• Maintain delivery health, proactively identify risks, bottlenecks, and dependencies, and drive continuous improvement in execution and team performance
• Coordinate resource allocation and prioritization across teams to balance demand, capacity, and strategic priorities, including managing trade-offs when demand exceeds capacity
• Own financial management across the function, including budgets and forecasts spanning multiple capabilities and cost centers, ensuring investments are aligned to strategic priorities and maximize ROI
• Manage vendor partnerships and external resources to ensure strong performance, accountability, and cost efficiency
• Lead the Data Visualization capability, defining its evolution in an AI-first world and ensuring delivery of trustworthy, scalable, self-service analytics aligned with AI-enabled insights, including oversight of tools such as Sigma, Tableau, and ESRI
• Promote data-driven decision-making and drive adoption of analytics through governance, communication, and change leadership
• Ensure analytics products and services are reliable, secure, well-documented, and supported through strong production support, issue resolution, and continuous enhancement practices

Requirements

• 10+ years of experience in Data, Analytics, or Technology roles
• 5+ years of leadership experience across cross-functional or delivery-focused organizations
• Proven experience driving AI, automation, or advanced analytics adoption within teams or organizations
• Proven experience managing planning cycles, OKRs, and delivery in complex environments
• Strong understanding of modern data and analytics ecosystems (e.g., SQL, BI tools, data platforms)
• Proven ownership of end-to-end financial management across multiple capabilities and cost centers, including budgeting, forecasting, investment prioritization, and cost optimization
• Proven experience managing external vendors, consulting partners, and geographically dispersed teams
• Demonstrated ability to operate across multiple teams and influence without direct authority
• Excellent communication and stakeholder management skills

Preferred Experience

• Incorporating AI, automation, or agent-based workflows into analytics or operations
• Experience working within Data & Analytics organizations (Data Engineering, Analytics Engineering, BI/Visualization)
• Familiarity with platforms such as Snowflake and enterprise BI tools
• Experience incorporating AI, automation, or agent-based workflows into analytics or operations
• Experience with product or pod-based delivery models, including working with globally distributed and remote teams
• Strong change management mindset and comfort operating in evolving environments
• Willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed