GAQ326R183
As a Compensation Program Manager, you will help lead mid-year and year-end compensation planning cycles for multiple parts of the business, ensuring smooth execution and thoughtful investment of salary increases and equity awards across our global workforce.
Reporting to the Sr. Manager, Compensation Programs and Operations, you’ll partner with teammates and cross-functional stakeholders to lead the program management, testing, and implementation of global compensation programs and help scale the compensation team’s frameworks, tools and practices as the company continues to grow. 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 with a solid foundation and history of success in doing just that!
The impact you will have:
- Deliver global compensation planning cycles by leading the design, testing, and implementation in Pave, ensuring data integrity across all compensation systems, and supporting communication, education, and change management efforts to help Databricks invest effectively in its global workforce
- Support pay equity analysis using Syndio’s platform to guide data-driven compensation decisions and advance equitable pay practices
- Manage and analyze complex datasets to generate clear, data-driven compensation insights that inform decision-making, increase efficiency, and enable scalable growth
- Contribute to strategic compensation projects, key initiatives and the development of scalable frameworks while partnering with key stakeholders such as IT People Systems, HR People Partners, People Ops, Talent Management, and Talent Acquisition
- Collaborate with IT People Systems to ensure Workday compensation data, configuration, and reports are accurate, scalable, and efficient
- Lead technology reviews and system enhancements for the compensation team to ensure tools, processes, and compensation programs scale effectively with the business, including managing change and driving smooth implementation
What we look for:
- 5-8 years of experience managing compensation planning cycles as well as large, cross-functional compensation projects
- Strong compensation and analytical background that shows proven success as a thoughtful partner with attention to detail
- Strong competency in understanding, interpreting, and communicating procedures, policies, and information clearly through excellent written, verbal, and interpersonal skills
- Advanced data analysis and problem-solving skills (i.e. spreadsheets, databases) and an ability to use data to support informed decision-making
- Experience with Workday as a system of record for compensation
- Proficient in project management methodologies and techniques
- Ability to navigate ambiguity in a fast-paced, dynamic environment where foundational frameworks are still being developed and priorities can shift quickly
- Skilled at leading and influencing stakeholders
- Ability to effectively communicate and collaborate with others on the team
- Strong sense of urgency with the ability to handle multiple competing priorities
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 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.
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.
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