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Credit and Collections Manager

Databricks· Credit & Collections
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BengaluruFull-timePosted 1mo ago

About the role

This Manager role within Databricks’ Credit & Collections organisation is responsible for driving credit strategy, strategic customer collections, AR performance, and complex escalations across a high-growth, usage-based Data/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.

Responsibilities

  • 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

Qualifications

  • Bachelor’s degree in Finance or Accounting
  • 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; AI in finance or AR operations a plus
  • Exceptional communication, negotiation, and stakeholder management skills

Skills

Required:Credit risk assessmentCollections strategyAR management

Benefits

  • Comprehensive benefits and perks (region-specific) as detailed by Databricks
Last updated Sep 17, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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