Databricks

1 week ago

Sr. Manager, Compensation Analytics & Intelligence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead Databricks’ Compensation Analytics & Intelligence function by turning enterprise-wide compensation data into actionable insights and operational tooling. Own compensation analytics including market benchmarking and total comp forecasting, and serve as the Compensation team’s AI and data strategy lead. Partner closely with Finance on cash and equity budget/spend modeling, track competitive intelligence and QBR reporting, and help design major compensation programs with strong data governance, privacy, and security practices.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: People, HR & Talent

Seniority: Sr. Manager level

Key Responsibilities

•Own enterprise-wide compensation program analytics including market benchmarking, total comp budget forecasting, and analytical support for major programs.
•Serve as the Compensation function’s lead on AI and data strategy to advance compensation analytics responsibly.
•Partner with Finance on cash compensation budgets and spend, and collaborate on equity budget and spend modeling with the Exec & Equity comp lead.
•Track market trends and shifts across cash, equity, and total rewards, and produce competitive intelligence and QBR reporting.
•Provide thought leadership on major compensation program design and company-wide strategic compensation challenges.

Pay and Benefits

Salary: USD 174,200 - 299,550 annually

Equity and Bonus:Equity

Key Requirements

•Exceptional analytical ability to transform raw, complex compensation data into insights, tooling, and recommendations.
•Advanced capabilities in gSheets and Excel, with strong working fluency in SQL and experience with BI/analytics platforms such as Tableau.
•Strong foundation in job architecture, compensation frameworks, market pricing, pay cycles, global compensation practices, and pay-for-performance design.
•Ability to lead on AI for compensation analytics responsibly, with judgment around data privacy, governance, and handling of sensitive data.
•Ability to balance deep compensation expertise with first-principles business solutioning.

Skills:Data-drivenStrategic thinkingTrusted advisoryCollaborationJudgment

Languages:English

Tech Stack:GSheetsExcelSQLTableauPythonAI/BIAI

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Databricks

1 week ago

Sr. Manager, Compensation Analytics & Intelligence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: People, HR & Talent

Seniority: Sr. Manager level

Key Responsibilities

•Own enterprise-wide compensation program analytics including market benchmarking, total comp budget forecasting, and analytical support for major programs.
•Serve as the Compensation function’s lead on AI and data strategy to advance compensation analytics responsibly.
•Partner with Finance on cash compensation budgets and spend, and collaborate on equity budget and spend modeling with the Exec & Equity comp lead.
•Track market trends and shifts across cash, equity, and total rewards, and produce competitive intelligence and QBR reporting.
•Provide thought leadership on major compensation program design and company-wide strategic compensation challenges.

Pay and Benefits

Salary: USD 174,200 - 299,550 annually

Equity and Bonus:Equity

Key Requirements

•Exceptional analytical ability to transform raw, complex compensation data into insights, tooling, and recommendations.
•Advanced capabilities in gSheets and Excel, with strong working fluency in SQL and experience with BI/analytics platforms such as Tableau.
•Strong foundation in job architecture, compensation frameworks, market pricing, pay cycles, global compensation practices, and pay-for-performance design.
•Ability to lead on AI for compensation analytics responsibly, with judgment around data privacy, governance, and handling of sensitive data.
•Ability to balance deep compensation expertise with first-principles business solutioning.

Skills:Data-drivenStrategic thinkingTrusted advisoryCollaborationJudgment

Languages:English

Tech Stack:GSheetsExcelSQLTableauPythonAI/BIAI

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn