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Databricks
GAQ425R17
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
Databricks is looking to fill the position of Manager, Finance Commercialization, PMO and Operations reporting to the Senior Manager, Finance Commercialization, PMO and Operations. As a strategic owner driving innovation and efficiency at scale, you will partner with the Finance teams across Order to Revenue (Revenue Operations, Billing, Revenue Accounting, Revenue Assurance), Accounting, FP&A, as well as work cross-functionally with teams such as IT, Go-to-market, Pricing and Sales Operations.
Planning, leading and executing on global, cross-functional, enterprise-wide projects that impact the Finance organization should be your passion. The ability to plan and execute effectively while collaborating across teams and locations will be key to success in this role. In this role you will remove friction for the Finance team by developing organization-wide standards, leading programs, including communications, reporting and metrics, optimizing processes, and driving technology improvements.
The impact you will have:
What we look for:
Benefits
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.