Staff Program Manager, People M&A

GAQ327R268

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

Databricks continues to grow organically and through numerous strategic acquisitions. We’re looking to scale our M&A engine to handle high-volume and high-complexity deals. As the Staff Program Manager, you will oversee and lead the "engine room" of our People M&A team, transforming manual workflows, undocumented process, and numerous spreadsheets into a world-class, automated execution machine. You will bridge the gap between Corporate Development and our functional People teams to ensure every "Brickster" joins with a seamless, error-free experience.

We are looking for a strategic builder who think from first principles. You don’t just follow a playbook; you engineer the platform that allows us to scale. You are someone who moves seamlessly between detailed strategy and deep-dive execution, energized by the technical complexity of M&A and the fast-paced velocity of our growth.

• Standardize the Playbook: Operationalize tribal knowledge into a documented, E2E M&A Playbook and Knowledge Hub to eliminate dependency on a small group of experts.
• Drive Automation: Partner with People Tech to design and execute the "Tech Efficiency Roadmap," utilizing automation and AI into our workflows/deal phases.
• Execution Leadership: Lead the People M&A phases of the deal. Manage the complex orchestration of recruiting, IT onboarding, and HR operations from deal disclosure through Day 1.
• Data Integrity: Design and establish "Single Source of Truth" protocols and data ownership matrices to ensure 100% accuracy in employee data across all systems.
• Cross-Functional Partnership: Act as the primary POC of the People team (TA, Benefits, PeopleOps, People Partners, Global Mobility) to ensure the People M&A priorities are roadmapped, tracked and implemented.

• 8+ years of M&A experience
• Speed matters, you don't wait for a playbook; you plan fast, drive alignment and execute
• You’re a problem solver, with multiple successful M&A project and process transformations 
• Deep technical knowledge of People processes
• Experience designing, scaling, transforming People workflows
• Strategy & planning mindset, execution/delivery, influencing executive stakeholders

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

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 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks 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, and other protected characteristics.