Headcount Strategy & Talent Planning Lead (Hybrid)

Datadog, Inc.; Boston (MA); On-site; USD 134,000 - 179,000; Full time

Benefits offered by this job

Generous benefits

Stock equity (RSUs)

ESOP plan

Job summary

Datadog is expanding its People Analytics team to develop the data foundation behind headcount and capacity models, partnering with FP&A, Recruiting, and PBPs to keep workforce planning grounded in clean data.

We operate as a hybrid workplace to balance collaboration and flexibility. The role focuses on automating models, maintaining data pipelines, and delivering insights that inform hiring pacing and org design.

Qualifications

• 5+ years of experience in workforce planning, people analytics, FP&A, or a related analytical role.
• Experience building or maintaining financial/headcount forecasting models, translating trends into forward-looking projections for capacity planning.
• Proficiency in SQL and BI tools such as Tableau; familiarity with Workday or another HRIS.
• Strong attention to data quality and detail; capable of identifying inconsistencies.
• Clear communicator who can explain data and findings to non-technical stakeholders.

Responsibilities

• Automate and expand headcount-driven capacity modeling and improve data pipelines.
• Build and maintain models covering headcount, positions, and hiring pacing.
• Own the position data audit process as a source of truth for open, filled, and planned positions.
• Analyze attrition, mobility, hiring, and promotion trends to support forecasts.
• Partner with HRIS, Recruiting Ops, and developers to shape data roadmap and tooling.

Skills

Data analysis

Communication

Attention to detail

Education

Bachelor's degree

Tools

SQL

Tableau

Workday

Job description

Datadog is expanding its People Analytics team to develop the data foundation behind headcount and capacity models, partnering with FP&A, Recruiting, and PBPs to keep workforce planning grounded in clean data.

We operate as a hybrid workplace to balance collaboration and flexibility. The role focuses on automating models, maintaining data pipelines, and delivering insights that inform hiring pacing and org design.