Sr. Manager, Analytics & Intelligence

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

This is a builder’s role for someone who lives at the intersection of compensation, data, and strategy. You will transform enterprise‑wide compensation data into insights and operational tooling, serve as the function’s go-to lead for AI and data strategy, and act as a trusted thought partner to senior leaders on the company’s most complex pay challenges — all while maintaining the highest standards for data governance, privacy, and security.

In a talent market this dynamic, you will be the person who sees where the market is moving before it moves.

At Databricks, we don’t believe compensation is just a number; it’s a tool to recognize that every employee is an owner and a part of our success. We are looking for a team member who brings rigor, intelligence, and world‑class craft to that mission.

This is a hands‑on, high‑impact role that will effectively cover the below areas and the anticipated time spent on each:

• Company-wide program analytics (35%) — Own enterprise‑wide compensation analytics: the market benchmarking process, total comp 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 & Q  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 comp program design and company‑wide strategic problems.

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

• Data fluency — This is the heart of the role. Exceptional analytical skills with a proven 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 required in gSheets 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 comp analytics are a meaningful plus.
• Lead on AI — Genuine enthusiasm and sound judgment for how AI can responsibly transform compensation work, paired with a sharp instinct for data privacy, governance, and the downstream implications of how sensitive data is handled.
• Know your craft — Solid foundation in job architecture, comp frameworks, market pricing, year‑end and midyear pay cycles, global compensation practices, and pay‑for‑performance design.
• Be rational — Ability to balance deep comp knowledge with business solutioning from a first‑principles viewpoint.

• Build innovatively & scale effectively — Create frameworks and solutions that not only solve today’s issues but anticipate future needs.
• Operational capability — Connect the dots between systems, players, and programs to seamlessly deliver compensation analytics and tooling.
• Savvy collaborator & trusted advisor — Comfortable leading conversations with Finance and senior leadership, navigating at times competing priorities and opinions, and supporting sensitive, high‑stakes compensation decisions with sound judgment and data‑backed recommendations.

Zone 1 Pay Range
$217,800 — $299,550 USD

Zone 2 Pay Range
$196,100 — $269,600 USD

Zone 3 Pay Range
$185,200 — $254,650 USD

Zone 4 Pay Range
$174,200 — $239,600 USD

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 —…