Sr. Manager, Order to Revenue Process Compliance

GAQ427R211

Databricks is seeking an operational leader to serve as Senior Manager, Order to Revenue Process Compliance. As Databricks continues to scale, protecting our usage-based revenue engine requires dedicated oversight at the intersection of product metering, billing systems, and strategic partner relationships. In this role, you will lead the core execution of usage remediation, partner reporting workstreams, and root cause analysis—bridging the gap between raw product metering data and financial ground truth.

• →Remediation & Root Cause Analysis (RCA): Execute the categorization and resolution of various SLA and usage issues impacting customers and financial accuracy, lead mandatory cross-functional RCAs with Engineering to address finance-impacting issues, ensuring policy and execution align to compliance guardrails at scale.  
• →Metrics, Reporting & Financial Reserves: Maintain necessary metrics, reporting, and data assets to inform leadership decision-making, influence project prioritization to resolve recurring issues, and inform financial reserves or adjustments to revenue recognition processes.
• →Partnership Governance & Outbound Reporting: Catalog and maintain a deep understanding of key partnership terms, create and preserve standard operating procedures (SOPs), oversee the execution of outbound reporting workstreams by staff, and sign off to own operational outcome results.
• →Cross-Functional Collaboration: Partner closely with Engineering and business stakeholders to turn usage insights into operational improvements and ensure compliance with partnership arrangements.

• Education: Bachelor’s degree in Accounting, Finance, Business, or a related technical field.
• Professional Experience: 10+ years of relevant experience, with extensive expertise in business partnering, influencing cross-functional stakeholders, and consumption-based revenue recognition/accounting.
• Technical Acumen: Experience writing SQL and past experience using Databricks strongly preferred.
• Operational Expertise: Proven capability in managing operational workflows, establishing SOPs, and running root-cause analyses within complex systems.

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.

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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.

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.