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Databricks

Credit and Collections Manager

Bengaluru, India

The employer does not state the work arrangement.

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PayNot listed
Work arrangementNot stated
Who can applyNot stated by the employer
LevelManager
TypeNot stated
Occupationcredit manager
Languageen
Posted31 August 2026
Last verified5 hours ago
StatusActive

About the role

GAQ427R213

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. This is a high-impact opportunity for a CA, CPA, or experienced finance professional to take ownership of credit risk, cash, strategic customer relationships, and AR performance at Databricks scale. This is an individual contributor position with an expectation to be hands-on.

The impact you will have:

  • 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

What we look 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.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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 click here.

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.

Listed via Databricks · first seen 22 October 2026 · last verified 28 October 2026

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