Manager, Analytics Data Platform

The People Analytics Team at Datadog uses data to help our growing organization make better people decisions.

As Manager, People Analytics Data Platform, you’ll lead the team responsible for building scalable, self‑service tools that power our people data foundation, including data pipelines, modeling, governance, BI tools, dashboards, and AI strategy. You’ll work closely with People leaders, People Tech partners, security teams, and central data teams to ensure Datadog’s people data is accurate, trusted, well‑modeled, and easy to use.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work‑life harmony that best fits them.

• Manage and develop a team of technical people analysts, setting clear expectations, coaching for performance, and building technical depth.
• Define and drive the data platform roadmap spanning reporting tooling, data modeling, governance, pipeline automation, access/security, and AI‑enabled analytics.
• Own the architecture and development of data pipelines and models in tools such as dbt and Snowflake, powering analytics across the employee lifecycle.
• Lead the migration to a unified people analytics reporting and dashboarding environment—including vendor evaluation, row‑based security testing, and integration of AI capabilities into the stack.
• Oversee data governance practices including quality monitoring, alerting, metric standardization, cataloging, documentation, and data access policies for sensitive data.
• Lead the development of secure AI‑powered people analytics tools, natural‑language querying interfaces, and scalable self‑service data products.
• Partner with People Leadership & Business Partners, People Tech, Recruiting, Finance, and central analytics teams to ensure the people data ecosystem supports business needs.

• 6+ years of experience in analytics engineering, data engineering, data platform management, or similar fields, including 2+ years leading or mentoring technical teams.
• 2–5 years experience managing technical analysts, coaching performance, guiding career journeys, and breaking work into achievable projects.
• Expertise in SQL and modern data stack tooling (dbt, Snowflake, cloud data warehouses, orchestration frameworks such as Airflow or Airbyte).
• Understanding of HR data domains (HRIS, ATS, LMS, performance, talent, recruiting) and people analytics metrics.
• Experience designing secure and compliant data access architectures (row/column‑level permissions, governance frameworks, privacy‑preserving models).
• Experience building dashboards in BI/reporting tools; familiarity with Tableau, Metabase, Looker, or similar platforms.
• Strong stakeholder management skills, translating business needs into technical strategy and clear priorities for a team.

• Best‑in‑breed onboarding.
• Generous global benefits.
• Intra‑departmental mentor and buddy program.
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
• Continuous professional development, product training, and career pathing.
• Inclusive company culture and community guilds and inclusion talks.

Datadog offers a competitive salary and equity package, and may include variable compensation. The reasonably estimated yearly salary for this role is: $150,000—$200,000 USD.

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.