Primary record

Director, Finance PMO, Strategy & Operations, FP&A

Databricks Indexed employerBellevue, Washington; Denver, Colorado; Mountain View, California; San Francisco, California; Seattle, Washington · San Francisco, California
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Workplace

On-site

Employment

Other

Published

Aug 11, 2026

Closes

No date supplied

The role

GAQ426R237

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Overview:

Databricks is seeking a Director of Finance PMO, Strategy and Operations supporting FP&A to fundamentally re-imagine and evolve how our global Financial Planning & Analysis (FP&A) organization operates. Reporting directly to the Head of Finance Data, AI, and Strategy, this leader will serve as a strategic right-hand to FP&A leadership and interface directly with the CFO, the Head of Sales, and other executive stakeholders.

This is not a traditional operations role; we are looking for a high-caliber strategist with a fresh perspective who can design the future state of FP&A and personally drive the execution to get us there. You will lead massive, cross-functional programs that embed Data, AI, and modern ways of working into our core financial processes. Crucially, you will champion "Databricks on Databricks"—leveraging our own unified data intelligence platform to eliminate friction, automate workflows, and deliver predictive insights that accelerate our growth.

If you possess a blend of elite strategic thinking (e.g., top-tier management consulting) and a proven track record of in-house corporate transformation, this role offers a massive platform for impact.

The Impact You Will Have

• Strategic Advisor & Design Partner: Serve as a key sounding board and right-hand to senior FP&A leadership to design organizational strategies, optimize corporate ways of working, and align financial planning with company-wide growth goals.

• Transform FP&A with Databricks: Lead the charge in changing how FP&A operates by embedding the Databricks platform, AI, and machine learning into core finance workflows—moving the team from descriptive reporting to scalable automation a

Requirements

Department: Finance