Credit and Collections Manager
Databricks · Posted Oct 6
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
The Credit & Collections organisation at Databricks governs credit strategy, strategic customer collections, AR performance, and complex escalations across a high-growth, usage-based Data and AI business. The role combines financial and commercial judgment with hands-on customer engagement, functional oversight of collection operations, and governance of the outsourced collections model. This individual contributor position owns credit risk, cash, strategic customer relationships, and AR performance for an assigned scope.
What you will do
- Lead the Credit & Collections function for an assigned scope within Databricks, including credit policies, collection practices, risk mitigation, and escalation protocols
- Own credit assessment, risk reviews, credit limits, payment terms, credit holds/releases, and exception management within the established approval framework
- Make credit recommendations and decisions within delegated authority, balancing credit risk, cash conversion, and commercial considerations
- Personally manage collections strategy and executive-level escalations for strategic and high-value Databricks customers
- Lead resolution of complex disputes, contractual payment issues, and commercially sensitive collection matters
- Own the monthly AR performance framework, including collection targets, cash collected vs. target, CEI, ageing, write-offs, and cash forecasting
- Translate AR and credit trends into actionable insights for Finance leadership, including emerging risks, recovery outlook, and bad debt/reserve considerations
- Manage the Accenture collections engagement, including SLA/KPI governance, account allocation, quality, process adherence, escalations, and corrective actions
- Partner with Sales, Customer Success, RevOps, Legal, Billing, and Finance leadership to resolve high-impact credit and collection matters
- Identify systemic drivers of delinquency and credit exposure and lead initiatives to strengthen controls, processes, and collection effectiveness
- Drive process transformation and continuous improvement across Credit & Collections, leveraging automation, AI, analytics, and scalable operating models to improve efficiency and decision-making
- Serve as the subject-matter authority for Credit & Collections, providing guidance on complex cases, policies, credit decisions, and commercial considerations
Skills used in this role
What the employer is looking for
- Bachelor’s degree in Finance or Accounting is a must; CA, CPA, CMA, ACCA, or equivalent professional qualification strongly preferred
- 12+ years of progressive experience across Credit & Collections, ideally within high-growth SaaS, technology, or complex B2B environments
- Proven experience in credit risk assessment, collections strategy, and managing strategic or high-value customer relationships
- Strong understanding of usage-based and subscription billing models, commercial contracts, and associated credit risks
- Demonstrated experience owning AR KPIs, collection targets, CEI, DSO, ageing, cash forecasting, write-offs, and bad debt/reserve analysis
- Experience operationalising credit policies, approval frameworks, and risk mitigation strategies
- Experience governing outsourced collections operations against defined SLAs and performance metrics
- Strong analytical capability with the ability to translate large datasets into clear financial and risk insights
- Advanced Excel and strong ERP/reporting systems experience; SAP, NetSuite and Salesforce preferred
- Demonstrated experience driving process transformation, automation, or technology-enabled improvements; practical application of AI in finance or AR operations is a plus
- Exceptional communication, negotiation, and stakeholder management skills, with the ability to engage confidently with customers and senior cross-functional stakeholders
- This role will require working in PST hours.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
Recent coverage
Databricks Newsroom
Databricks Closes $5 Billion Strategic Funding at $190 Billion Valuation2026-08-13
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Databricks Announces Strategic Funding at a $188 Billion Valuation2026-07-16
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Databricks Accelerates Investments in Agent Bricks, Lakebase and Databricks Apps2025-12-16