Databricks is looking for a leader with proven technology industry experience to oversee our global order-to-cash (OTC) function. In this role, you will develop strategy and drive execution of process and automation to support our fast-growing organization and to build for scale. Order to Cash is at the center of our customer-obsessed Finance function and you will mentor and lead the team focused on building an external as well as internal customer service approach. You will report to the Senior Director, OTC, and Revenue and will partner with cross-functional teams including Deal Desk, Commercialization, Sales & Sales Operations, Customer Success, Revenue Assurance & Accounting, IT, FP&A, and others across the company to influence and increase efficiency and scalable execution.
The impact you will have: Dedicated leadership for the order-to-cash process, including new contract setup and management of usage-based monthly reporting and accounts receivable functions including billings, credit, and collections, following industry best practicesBe an expert for internal usage and data flows, billing and collections processes, and external strategic partnerships in support of building an efficient order to cash operation to ensure accurate and complete information for accounting and reportingPartner with IT, Engineering, Commercialization, Sales Operations, Product, and Revenue to identify and communicate system requirements related to all order-to-cash processes including ongoing CPQ enhancements, implementation of usage-based billing and revenue recognition solutions, commercialization, and new product introduction life cycle, and other critical orders to cash projectsRepresent Order to Cash to guide important business initiatives focused on addressing complex challenges to increase efficiency and ensure scalabilityDevelop a best-in-class team including establishing global operations at scale while executing immediate-term processes and timelinesManage accounts receivable aging with a focus on reducing DSO; implement credit review and bad debt collection practicesEnsure appropriate internal controls are in place and operating effectively, ensure maintenance of control documentation for order to cash-related processes to ensure SOX compliance, and provide audit support for control and substantive testingCreate and publish metrics to capture, control, and report Revenue Operations and Accounts Receivable team effectivenessWhat we look for: 15+ years of experience in order to cash / accounting operations roles including public company software/SaaS experience required6+ years of leadership experience and demonstrated ability to manage teams, guide process improvementsBA/BS degree or equivalent work experienceA customer focus with the ability to help internal stakeholders, articulate their needs, and produce outputs to guide decisionsA deep understanding of the end-to-end order-to-cash process with the ability and desire to process and solve complex problems while balancing many cross-functional stakeholdersA leader who isn't afraid to roll up their sleeves, has experience in creating and executing strategy to scale, and who loves to build processes, people, and operational excellence.Experience transforming manual processes either via process optimization or automation initiativesExperience with the SDLC life cycle through Accounting ERP system implementations supporting UAT, parallel runs, and cutover managementExperience recruiting, training, managing, and developing staffWorking knowledge of sales, CRM, and accounting systems such as Salesforce, Netsuite, and analytical tools such as Excel and Tableau.Experience with consumption-based revenue recognition and Databricks Platform desiredPay 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.
Zone 1 Pay Range: $148,100 — $262,000 USD
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, please visit https://www.mybenefitsnow.com/databricks.
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.
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