Databricks is hiring an

Order to Cash (OTC), Credit Manager

Req #: GAQ125R18

Databricks is looking for a talented Order to Cash (OTC) Credit Manager who has passion for process improvement and operational excellence. We are in search of a skilled individual who not only possesses a keen eye for assessing and managing customer creditworthiness, but also thrives on driving continuous improvement initiatives within our environment. This role will report to the Sr Manager, Billing, Credit & Collections. 

The impact you will have:

  • Establish, lead development, and enforce corporate credit policies/procedures to mitigate risk and ensure timely payment from customers
  • Collaborate cross-functionally to design and implement new processes and automation to support the credit function
  • Assess credit risk for new and existing customers, including reviewing financial statements, credit reports, and payment histories
  • Monitor customer accounts receivable balances and proactively connect with customers to resolve payment issues and disputes
  • Research and analyze external data to identify risk factors related to specific industries, geographies, and customer legal/bankruptcy status for comprehensive risk assessment
  • Collaborate with Sales/Deal Desk/Customer Success to evaluate creditworthiness of potential customers and establish appropriate credit limits
  • Analyze billing data and trends to identify potential risks and opportunities for process improvement
  • Maintain accurate records of credit evaluations, approvals, and collections activities.
  • Ensure appropriate credit management internal controls are in place and operating effectively to ensure SOX compliance
  • Create and publish metrics to capture, control and report credit management effectiveness
  • Generate and maintain detailed documentation of policies and processes and assist with process improvement/automation initiatives as they arise
  • Support the Order to Cash team to improve processes impacting the Billing, Credit & Collections function

What we look for:

  • Bachelor's degree in Finance or Accounting 
  • 6+ years of experience in Credit Management and Collections or Finance Operations
  • Experience with credit management tools such as Dun & Bradstreet or Moody’s
  • Working knowledge of best practices internal controls
  • Experience managing high volume of transactions 
  • Ability to adhere to deadlines in a fast pace environment without losing sight of accuracy
  • Proficiency with Excel is required (pivot tables, Vlookups)
  • Experience in subscription, consumption and professional services billings
  • Experience with NetSuite or any major ERP and Salesforce 

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 TwitterLinkedIn 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.

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