Workforce Planning Lead, People Analytics

Details

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The team includes researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As Anthropic grows, the People Analytics team leads workforce planning, forecasting, and tracking. The Workforce Planning Lead will own how Anthropic plans, forecasts, and tracks its workforce — from underlying data and tooling, to forecasting models, to the cadence and partnerships that connect workforce decisions to business strategy. The role is highly cross-functional and will partner closely with Recruiting, Finance, People Partners (HRBPs), talent leaders, and business leaders. Scope may extend beyond traditional workforce planning into broader People Analytics work.

Responsibilities

• Workforce planning process and strategic partnership

  • Lead recurring company-wide headcount planning cycles and ongoing review, monitoring, and adjustment rhythms.
  • Partner with Finance, Recruiting, and talent leaders to translate business strategy into hiring plans, capacity needs, location considerations, and workforce mix.
  • Strengthen planning infrastructure including position management, governance of core workforce data, and consistency across people systems.
  • Provide data and modeling to inform growth plans, organizational design, and resource decisions.

• Forecasting and scenario modeling

  • Build and maintain quantitative models for headcount forecasting, attrition projection, hiring plan scenario analysis, and capacity planning.
  • Develop scenario analyses to quantify tradeoffs across growth plans, hiring assumptions, attrition rates, and budget considerations.

• Analytics, dashboards, and insight

  • Build self-service dashboards for executives, functional leaders, and managers showing current state, plan vs. actual, pipeline health, and key workforce metrics.
  • Develop predictive analytics including attrition risk, hiring velocity forecasting, and supply/demand gap identification.
  • Translate analysis into clear narratives that drive decisions.

• Cross-functional execution

  • Provide hands-on operational support during reorganizations, new team formation, and rapid scaling.
  • Support broader People Analytics workstreams touching attrition, recruiting funnel, location analytics, and other people data.

Minimum qualifications

• Experience in people analytics, workforce planning, or a closely related quantitative role.
• Experience building and maintaining quantitative models for headcount forecasting, attrition, or hiring plan scenarios in a high-growth environment.
• Highly proficient in SQL and working knowledge of Python or R for modeling.
• Hands-on experience with HRIS and ATS data.
• Experience building dashboards in tools like Looker, Tableau, or comparable tools and translating analysis for senior leadership audiences.
• Strong generalist analyst who thrives in ambiguity, balances rigor with pragmatism, and challenges assumptions with data.
• Clear communicator with senior stakeholders across Recruiting, Finance, and the business.
• Comfortable owning end-to-end development of a function and iterating quickly in a fast-paced environment.

Preferred qualifications

• 7+ years in people analytics in workforce planning.
• Background in workforce planning and people analytics at high-growth technology companies or AI/ML organizations; ideally have led workforce planning end-to-end or stood up the function.
• Experience leading rollout or significant upgrade of position management capabilities.
• Experience partnering with FP&A on financial planning and connecting headcount plans to budget considerations.
• Familiarity with capacity planning models (e.g., recruiter capacity against hiring goals).
• Experience supporting org design analytics (span of control, layers, manager ratios) and structural decisions.
• Working knowledge of compensation principles sufficient to model comp tradeoffs in scenario analysis.
• Experience with modern data stack tools and employee lifecycle metrics.

Compensation

• Annual Salary: $245,000 - $310,000 USD

Logistics

• Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience.
• Minimum years of experience: Will correlate with internal job level requirements for the position.
• Location-based hybrid policy: Staff are expected to be in one of Anthropic's offices at least 25% of the time; some roles may require more time in office.
• Visa sponsorship: Anthropic states they do sponsor visas and will make reasonable efforts to secure a visa for chosen candidates (they retain an immigration lawyer).

How we're different

Anthropic emphasizes collaborative, large-scale AI research, valuing impact and communication. The team works on research directions related to GPT-3, interpretability, scaling laws, AI & compute, and learning from human preferences.

Application notes

The posting encourages applicants who may not meet every qualification to apply and includes candidate guidance about AI usage in the application process.