Databricks: Credit and Collections Manager — Bengaluru, India

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Credit and Collections Manager in Bengaluru, India, under reference 8756138002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Finance
• Employer listing date: 1 September 2026

Responsibilities and work described

• Leadership: 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
• Leadership: 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
• Management: 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

Essential requirements and candidate background

• Bachelor’s degree in Finance or Accounting is a must
• 12+ years of progressive experience across Credit & Collections, ideally within high-growth SaaS, technology, or complex B2B environments
• Experience: credit risk assessment, collections strategy, and managing strategic or high-value customer relationships
• Understanding: 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
• Analytical capability with the ability to translate large datasets into clear financial and risk insights
• Advanced Excel and ERP/reporting systems experience
• 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

Preferred experience and additional strengths

• CA, CPA, CMA, ACCA, or equivalent professional qualification strongly preferred
• 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

Location, schedule and contract conditions

• Advertised location: Bengaluru, India

Benefits mentioned by the employer

• 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

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Credit and Collections Manager vacancy is not an offer for reference 8756138002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8756138002.

Compare your qualifications and experience with the essential conditions for the Bengaluru, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: SAP

For SAP, identify the module or business process and the type of contribution: configuration, development, integration, testing or user support. Give one example that connects the system change to the business need.

Relevant skills

• AI/ML
• SAP
• NetSuite
• Excel
• Salesforce
• ACCA
• CPA
• AI
• accounting
• compliance
• sales
• stakeholder management