People Analytics Data Science & Research Manager

Responsibilities

• Set analytical and modeling direction across workforce forecasting and organizational effectiveness, Voice of Employee research, and AI-native tooling, ensuring consistency and rigor across all domains.
• Apply first-principles thinking to turn People & Places strategy into analytical problems at the function level, and propose and lead the initiatives that follow from it.
• Connect insights across hiring, workforce planning, performance, internal mobility, and employee experience to surface patterns and trade-offs only visible at the portfolio level, and translate them into decision-ready leadership recommendations.
• Partner with P&P COEs, the HRBP community, and Finance leadership to resolve workforce-data definitional questions, including how hires and headcount are defined and reconciled, and represent that work credibly with senior stakeholders.
• Co-create the analytics strategy for AI-native decision tools in partnership with cross-functional teams, drawing on industry developments, strategic insight, and domain knowledge.
• Help design strategic frameworks and success measurement across key People & Places initiatives, including AI-powered work.
• Guide teams toward the data sets, insights, and methodological approaches that improve model outcomes, bringing in both external and internal sources.
• Influence the analytics product roadmap so the portfolio continues to improve insight and decision-making across the employee lifecycle.
• Guide the data science behind workforce planning and organizational effectiveness measures, ensuring the models leaders rely on are sound and consistently applied.
• Review and challenge the team's models with accountability for assumptions, bias, and interpretability, guiding teams from ambiguous business questions to end-to-end analytical solutions.
• Build, review, and scale advanced predictive and prescriptive models, applying rigor across experimentation and causal inference.
• Identify new methodologies and external trends and adapt them to People & Places use cases, creating shareable frameworks that clarify when and how a new approach should be used.
• Act as a thought partner on build versus buy decisions for analytics workflow tooling, identifying the pain points worth solving.

Qualifications

• 10+ years in people analytics, with deep data science and applied research experience in a people or workforce context.
• 4+ years of experience managing analytics or data science teams; experience managing a multi-team or multi-domain organization strongly preferred.
• Demonstrated depth in predictive and prescriptive modeling, experimentation, and causal inference, sufficient to review and improve others' methodological choices rather than only interpret their conclusions.
• Fluency in SQL and Python or R, with comfort in modern cloud data environments and data workflow management tooling.
• Experience across workforce domains such as headcount forecasting, attrition and retention modeling, hiring funnel analytics, compensation, or organizational effectiveness, and with survey and psychometric research methods.
• Experience building or measuring AI-native analytics products, with a clear point of view on how to evaluate them and how model performance connects to business outcomes.
• Proven experience establishing shared data definitions and reporting standards across functions with competing sources of truth.
• Demonstrated ability to influence senior executives through storytelling, translating complex analysis into a narrative that changes a decision rather than describing a situation.
• Track record of building feedback loops into analytics work, so the team knows what changed as a result and invests accordingly.
• Passion for enabling data-driven, equitable people processes that foster growth and inclusion.

Pay

The Expected Base Pay Range For This Position Is Mountain View $234,000 - $316,500.