The People Analytics Team at Datadog uses data to help our growing organization make better people decisions.
As Manager People Analytics Data Platform youll lead the team responsible for building scalable self-service tools that power our people data foundation including data pipelines and modeling data governance BI tools and dashboards and AI strategy. Youll work closely with People leaders People Tech partners security teams and central data teams to ensure that Datadogs people data is accurate trusted well-modeled and easy to use.
At Datadog we place value in our office culturethe 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.
What Youll Do
- Manage and develop a team of technical people analysts (e.g. Analytics Engineers Data Platform Analysts) setting clear expectations coaching for performance and building technical depth across the team.
- 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 (e.g. recruiting performance employee surveys learning and development).
- Lead the migration to a unified people analytics reporting and dashboarding environmentincluding vendor evaluation row-based security testing and integration of AI capabilities into the reporting stack.
- Oversee data governance practices including data quality monitoring and alerting metric standardization cataloging and documentation and data access policies and security (role-based or row/column-level permissions) for sensitive data.
- Lead the development of secure AI-powered people analytics tools natural-language querying interfaces and scalable self-service data products for People and business leaders.
- Partner with People Leadership & Business Partners People Tech Recruiting Finance and central analytics teams to ensure the people data ecosystem supports business needs.
Who You Are
- 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 their performance guiding their career journey and breaking work into achievable projects and tasks
- Expertise in SQL and modern data stack tooling (dbt Snowflake cloud data warehouses ingestion/orchestration frameworks such as Airflow or Airbyte).
- Understanding of HR data domains (HRIS ATS LMS performance talent recruiting) and the metrics used in people analytics
- Experience designing secure and compliant data access architectures (row/column-level permissions governance frameworks privacy-preserving models).
- Experience with managing and building dashboards in BI/reporting tools; familiarity with Tableau Metabase Looker or similar platforms.
- Strong stakeholder manager who can translate business needs into technical strategy and clear priorities for a team
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. Thats okay. If youre passionate about technology and want to grow your skills we encourage you to apply.
Benefits and Growth:
- Best-in-breed onboarding
- Generous global benefits
- Intra-departmental mentor and buddy program for in-house networking
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development product training and career pathing
- An inclusive company culture able to join our Community Guilds and Inclusion Talks
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Required Experience:
Manager
The People Analytics Team at Datadog uses data to help our growing organization make better people decisions.As Manager People Analytics Data Platform youll lead the team responsible for building scalable self-service tools that power our people data foundation including data pipelines and modeling ...
The People Analytics Team at Datadog uses data to help our growing organization make better people decisions.
As Manager People Analytics Data Platform youll lead the team responsible for building scalable self-service tools that power our people data foundation including data pipelines and modeling data governance BI tools and dashboards and AI strategy. Youll work closely with People leaders People Tech partners security teams and central data teams to ensure that Datadogs people data is accurate trusted well-modeled and easy to use.
At Datadog we place value in our office culturethe 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.
What Youll Do
- Manage and develop a team of technical people analysts (e.g. Analytics Engineers Data Platform Analysts) setting clear expectations coaching for performance and building technical depth across the team.
- 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 (e.g. recruiting performance employee surveys learning and development).
- Lead the migration to a unified people analytics reporting and dashboarding environmentincluding vendor evaluation row-based security testing and integration of AI capabilities into the reporting stack.
- Oversee data governance practices including data quality monitoring and alerting metric standardization cataloging and documentation and data access policies and security (role-based or row/column-level permissions) for sensitive data.
- Lead the development of secure AI-powered people analytics tools natural-language querying interfaces and scalable self-service data products for People and business leaders.
- Partner with People Leadership & Business Partners People Tech Recruiting Finance and central analytics teams to ensure the people data ecosystem supports business needs.
Who You Are
- 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 their performance guiding their career journey and breaking work into achievable projects and tasks
- Expertise in SQL and modern data stack tooling (dbt Snowflake cloud data warehouses ingestion/orchestration frameworks such as Airflow or Airbyte).
- Understanding of HR data domains (HRIS ATS LMS performance talent recruiting) and the metrics used in people analytics
- Experience designing secure and compliant data access architectures (row/column-level permissions governance frameworks privacy-preserving models).
- Experience with managing and building dashboards in BI/reporting tools; familiarity with Tableau Metabase Looker or similar platforms.
- Strong stakeholder manager who can translate business needs into technical strategy and clear priorities for a team
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. Thats okay. If youre passionate about technology and want to grow your skills we encourage you to apply.
Benefits and Growth:
- Best-in-breed onboarding
- Generous global benefits
- Intra-departmental mentor and buddy program for in-house networking
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development product training and career pathing
- An inclusive company culture able to join our Community Guilds and Inclusion Talks
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Required Experience:
Manager
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