Sr. Manager, Finance PMO & Operations (Procure-To-Pay)
West Coast - United States
GAQ327R163
Databricks is seeking a Senior Manager, Finance Commercialization, PMO, and Operations. You will be responsible for driving organization, transformation, innovation and operational efficiency at scale, as well as managing key programs across global Finance teams within the Controllership organization and with our cross-functional stakeholders. You will interface with leadership to ensure transparency and visibility into our programs and projects.
You will partner with teams across the Controllership, including Order to Revenue (Revenue Operations, Billing, Revenue Accounting, Revenue Assurance), Accounting, Payroll, Tax, Treasury, and Commissions, and collaborate with cross-functional teams such as IT, Engineering, Go-to-Market, FP&A, Pricing, Sales Operations, and our Internal Audit team. You will own planning processes, project intake and prioritization and drive key trade-off decisions on behalf of the Controllership.
Your passion should be planning, leading, and executing global, cross-functional, enterprise-wide projects that impact the Finance organization. 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.
Drive cross-functional collaboration across teams and locations to ensure the seamless execution of global initiatives
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 click here.
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.
$96,000 - $132,000/yr
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