GAQ426R358
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
We’re looking for a Chief of Staff to the Chief People Officer (CPO) to help drive operational excellence, strategic alignment, and execution across the Databricks People organization. In this role, you will work closely with the CPO and People Leadership Team to ensure that our strategy, priorities, and operating rhythms are aligned and effectively executed as we scale.
You will play a critical role in connecting strategy to execution, enabling strong collaboration across the People Leadership Team and Centers of Excellence, and ensuring the CPO’s time and focus are directed toward the most impactful priorities for the company.
A key part of this role will be helping support the transformation of the People organization into an AI-first, highly efficient function, identifying opportunities to leverage AI to automate routine work, accelerate insights, improve decision-making, and fundamentally change how the People team operates at scale.
The impact you will have:
- Drive the operating cadence of the People Leadership Team, including leadership meetings, quarterly and annual planning, and strategic reviews.
- Ensure alignment across People functions and Centers of Excellence by linking strategy, planning, and execution.
- Partner with functional leaders, PMO and finance to translate company priorities into clear People team objectives and operational plans.
- Develop reporting mechanisms and dashboards to track key People metrics, strategic initiatives, and organizational performance, and coordinate reporting metrics to the board and executive team as needed.
- Identify and implement AI-powered tools and workflows to improve the operating efficiency of the People organization, from automating routine reporting and communications to accelerating how the team synthesizes data and gets to better decisions, faster.
What we look for:
- Experience as a Chief of Staff, Strategy Lead, or similar role supporting a senior executive
- 8–12+ years of experience in HR, strategy, operations, consulting, or business operations. Experience working with People/HR organizations or talent strategy initiatives is strongly preferred.
- Strong strategic thinking and program management skills with the ability to translate strategy into operational execution
- Exceptional organizational and communication skills with experience supporting senior executives and working effectively across cross-functional stakeholders to drive results across complex organizations
- Proven ability to manage cross-functional initiatives across complex organizations
- Strong analytical and data storytelling skills to drive insight and decision-making
- Ability to operate effectively in a high-growth, fast-paced environment and drive alignment through ambiguity
- A genuine AI adopter who actively uses AI tools to do their own work better, and brings curiosity and initiative to identifying how these tools can transform how the People team operates
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates 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.
About Databricks
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, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
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.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
.png)
