Sr. Manager, Order to Revenue Process Compliance
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead usage remediation, partner reporting workstreams and root cause analysis, bridging raw product metering data and financial ground truth. You will resolve SLA and usage issues, maintain metrics and reporting, govern partnership terms and SOPs, and partner with Engineering.
Requirements
- Bachelor's degree in Accounting, Finance, Business or related field
- 10+ years of relevant experience in business partnering and consumption-based revenue recognition
- SQL experience; Databricks experience strongly preferred
- Proven operational workflow, SOP and root-cause-analysis capability
Responsibilities
- Categorize and resolve SLA and usage issues affecting customers and financial accuracy
- Lead cross-functional root cause analyses with Engineering
- Maintain metrics, reporting and data assets for leadership
- Inform financial reserves and revenue recognition adjustments
- Maintain knowledge of partnership terms and create SOPs
- Oversee outbound reporting workstreams
- Partner with Engineering and business stakeholders on operational improvements
Benefits
- Annual performance bonus eligibility
- Equity eligibility