VP, People Analytics & Data Strategy

Primary Responsibilities

• Lead the People analytics and workforce insights agenda in support of enterprise, functional, and executive decision-making
• Deliver high-impact workforce reporting, dashboards, scorecards, and insights that inform strategic decisions across talent, workforce, payroll, productivity, and organizational effectiveness
• Shape executive and board-ready workforce narratives, including trend analysis, scenario support, and strategic storytelling
• Establish clear standards for insight quality, metric consistency, and business interpretation
• Own the business meaning, stewardship, and source-of-truth logic for People data across major domains including Core HR, Talent Acquisition, Talent, Learning, Payroll, Time, and Employee Support
• Define and govern metric logic, KPI definitions, business rules, and semantic consistency across the People ecosystem
• Partner with COEs and Shared Services to ensure critical business rules and source data requirements are clearly defined and maintained
• Lead the People-side AI data strategy, ensuring data is fit for purpose for priority AI use cases, agent workflows, and intelligent automation
• Assess and prioritize AI data-readiness needs for key use cases, including structured and unstructured data, enrichment, metadata, lineage, and observability requirements
• Define the backlog of People data products and improvements required to enable AI-first HR capabilities
• Partner with AI Enablement and People Tech to align data priorities to product roadmap and AI use-case strategy

Governance, Quality, and Risk

• Establish and enforce business-facing governance for People data quality, stewardship, privacy, and appropriate use
• Define business quality thresholds and monitor data issues that impact trust, analytics, or AI deployment
• Partner with Tech, Privacy, Compliance, and Security teams to ensure People data governance aligns with enterprise controls and AI governance requirements
• Help shape the People function's role in AI governance, especially where workforce data supports sensitive decisions or employee-facing experiences

Value Realization and Measurement

• Define and monitor value metrics for People analytics, AI-enabled workflows, and digital products
• Establish KPI frameworks to track adoption, business outcomes, efficiency gains, and decision quality
• Ensure analytics and AI investments are tied to measurable business value, not just technical activity
• Provide leadership on how data and AI should be measured, governed, and continuously improved

Leadership

• Build and lead a high-performing team across workforce analytics, data semantics, stewardship, AI data readiness, and value measurement
• Develop talent and capabilities in analytics, business data ownership, stewardship, and AI-ready data practices
• Establish a modern operating model that connects analytics, product, AI, and technology teams with clear accountability and decision rights
• Serve as a senior leader across the People transformation agenda, bringing clarity, rigor, and enterprise perspective