Databricks

Databricks

Posted via Greenhouse

Credit and Collections Manager

Posted Sep 1, 2026

Role at a glance

Salary
Not Disclosed
Location
Bengaluru, India
Work arrangement
On-site
Employment
Full-time
Education
Bachelor’s degree in Finance or Accounting is a must; CA, CPA, CMA, ACCA, or equivalent professional qualification strongly preferred

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Role Summary

AI-generated

The Credit and Collections Manager is a hands-on individual contributor responsible for credit strategy, customer collections, accounts-receivable performance, and complex escalations for an assigned scope. The role also oversees the outsourced collections engagement and partners with cross-functional teams on high-impact matters.

What You'll Do

  • Own credit assessments, risk reviews, credit limits, payment terms, holds and releases, and exception management within the approval...
  • Manage collections strategy and executive-level escalations for strategic and high-value customers, including complex disputes and...
  • Oversee monthly AR performance, including collection targets, cash collected, CEI, ageing, write-offs, and cash forecasting.
  • Govern the outsourced collections engagement through SLA and KPI oversight, account allocation, quality, escalations, and corrective...
  • Identify delinquency and credit-exposure trends and lead process, control, and technology-enabled improvements.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Requires a bachelor’s degree in Finance or Accounting and 12+ years of progressive Credit & Collections experience. Qualifications include credit risk assessment, collections strategy, customer relationship management, AR KPI ownership, credit policy and risk mitigation, outsourced collections governance, analytical ability, advanced Excel, ERP/reporting systems, and strong communication, negotiation, and stakeholder management skills.

Required

  • CA, CPA, CMA, ACCA, or equivalent professional qualification strongly preferred
  • Experience within high-growth SaaS, technology, or complex B2B environments is described as ideal
  • SAP, NetSuite and Salesforce preferred
  • Practical application of AI in finance or AR operations is a plus

Original job description

Content provided by the employer

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.

Databricks

About the company

Databricks

Large Enterprise

Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.