Sr. Manager, Compensation Analytics & Intelligence

Cacheflow; United States; On-site; USD 217,800 - 299,550; Full time

Job summary

Databricks seeks a data-driven Compensation Analytics & Intelligence leader to provide centralized analytics and intelligent insights for informed decision-making. You will own enterprise-wide analytics, benchmarking, and budget forecasting while guiding AI and data strategy within the compensation function.

You will collaborate with Finance on budgets and spend modeling, track market trends, and contribute to compensation program design and governance across cash and equity components.

Qualifications

• Data fluency — transform raw data into insights and recommendations.
• Advanced capabilities in Google Sheets and Excel; SQL and BI tools preferred.
• Knowledge of how AI can enhance compensation analytics with data privacy and governance.

Responsibilities

• Own enterprise-wide compensation analytics, benchmarking, and budget forecasting.
• Lead AI and data strategy for the Compensation function.
• Partner with Finance on cash, equity budgets, and spend modeling.

Skills

Data analytics

Excel

SQL

Tableau

Python (AI in compensation)

Tools

Google Sheets

Excel

BI platforms

Python

Job description

The impact you will have:

Databricks is seeking a data-driven compensation professional to lead our Compensation Analytics & Intelligence function. This role provides centralized compensation analytics and intelligence to drive better, faster, and more consistent decision-making through data, and is a key part of the Compensation function at Databricks.

Scope of the role

This is a hands-on, high-impact role that covers the areas below with the anticipated time spent on each:

• Company-wide program analytics (35%) — Own enterprise-wide compensation analytics: the market benchmarking process, total compensation budget forecasting, and the analytical backbone for major program decisions.
• AI & data strategy lead (25%) — Serve as the Compensation function’s lead on AI and data strategy.
• Partnership with Finance (20%) — Partner with Finance teams on cash compensation budgets and spend. Collaborate on equity budget and spend modeling in close partnership with the Exec & Equity comp lead.
• Competitive intelligence & QBR reporting (10%) — Track market trends and spikes/cool-downs across cash, equity, and total rewards.
• Strategy & program design partnership (10%) — Provide thought partnership on major compensation program design and company-wide strategic problems.

What we look for

We’re looking for someone who has the following strengths:

Analytics

• Data fluency — The heart of the role. Exceptional analytical skills with the ability to transform raw, complex data into insights, tooling, and recommendations. You see the story in the numbers and build the systems that surface it.
• Know your tools — Advanced capabilities in Google Sheets and Excel. Strong working fluency in SQL and experience with BI / analytics platforms (e.g., Tableau, AI/BI) strongly preferred; Python and hands-on experience applying AI to compensation analytics are a meaningful plus.
• Lead on AI — Enthusiasm and sound judgment for how AI can responsibly transform compensation work, with a sharp instinct for data privacy, governance, and the downstream implications of handling sensitive data.

Comp expertise

• Know your craft — Solid foundation in job architecture, compensation frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, and pay-for-performance design.
• Be rational — Ability to balance deep compensation knowledge with business solutioning from a first-principles viewpoint.

Operational & partnership excellence

• Build innovatively & scale effectively — Create frameworks and solutions that anticipate and address future needs as well as current issues.
• Operational capability — Connect the dots between systems, players, and programs to deliver compensation analytics and tooling.
• Savvy collaborator & trusted advisor — Comfortable leading conversations with Finance and senior leadership, navigating competing priorities, and supporting sensitive, high-stakes compensation decisions with data-backed recommendations.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages depend on factors including job-related skills, depth of experience, relevant certifications and training, and work location. The total compensation package may include eligibility for annual performance bonus, equity, and the listed benefits. For location-specific ranges, refer to the official page.

• Zone 1 Pay Range — 217,800 USD to 299,550 USD
• Zone 2 Pay Range — 196,100 USD to 269,600 USD
• Zone 3 Pay Range — 185,200 USD to 254,650 USD
• Zone 4 Pay Range — 174,200 USD to 239,600 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations rely on the Databricks Data Intelligence Platform. Databricks is headquartered in San Francisco with offices worldwide and was founded by the creators of Lakehouse, Apache Spark, Delta Lake and MLflow. For more information, follow Databricks on social channels.

Our Commitment to Diversity and Inclusion

Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices are inclusive and uphold equal employment opportunity standards. Individuals are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, or other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within the Employer\'s discretion to apply for a U.S. government license or to proceed with an applicant as appropriate.