GAQ125R78
Location : San Francisco, CA or Mountain View, CA or remote
As a Senior Product Specialist, you will work with other Product Specialist and Business Systems Analysts under the direction of the People Systems group to accomplish Databricks vision of democratizing data by building a world class People technology platform that allows employees to make an impact. You will uncover and establish business needs, translate them into technical requirements and develop new solutions to increase adoption of People Technology platforms. You will build deep partnerships with cross functional partners, advocate for new ways technology can improve our compensation programs and be empowered to innovate the future of our People Technology strategy. You will report to the Sr. Manager, People Systems as part of the CIO's org.
The impact you will have:
- Drive Workday advanced compensation, Pave, and other compensation technology best practices, with methods and tools, to maximize the value of the platform(s).
- Significant influence on the compensation product strategy and execution
- Foster a culture of innovation, collaboration, and customer-centricity
- Define internal best practices for system architecture, design, and build across the "Employee Lifecycle" ecosystem and integrated enterprise business systems
- Engage with BSA’s in defining and implementing a multi-quarter technology roadmap, including processes and procedures in collaboration with business stakeholders and our IT engineering, data, and security teams.
- Support all stages of the software development life cycle including but not limited to; system integration, configuration, data conversion, functional specifications, program, and system quality testing, go-live and post go-live implementation support
- Create and maintain documentation of business process, integration, and related data architecture to identify areas of friction, waste, and opportunities for improvement
- Write specs/stories for compensation programs’ major products, including Workday Advanced Comp, Pave, Surveys and Insights.
- Ensure that the system(s) meets the defined expectations of the business.
- Drive consensus with business and technical teams to determine the best solution to business problems, output needs and the delivery of new technology solutions and enhancements.
What we look for:
- 5+ years total experience with 3+ years of progressive experience in solution evaluation, design, configuration implementation, integration, and administration of Compensation tooling
- 5+ years of experience designing, configuring, and implementing multiple modules within Workday cloud enterprise applications, and Workday reporting. Specifically we are looking for advanced compensation configuration experience.
- Bachelor’s degree preferably in Computer Science or equivalent work experience.
- Preferably some experience running compensation programs at an enterprise.
Benefits
- Comprehensive health coverage including medical, dental, and vision
- 401(k) Plan
- Equity awards
- Flexible time off
- Paid parental leave
- Family Planning
- Gym reimbursement
- Annual personal development fund
- Employee Assistance Program (EAP)
- Mental wellness resources
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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.
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.