Credit and Collections Manager

About the role

The Credit and Collections Manager will lead credit strategy, collections, and AR performance for Databricks' high‑growth, usage‑based Data/AI business. This individual contributor role combines financial judgment, hands‑on customer engagement, and governance of outsourced collections.

Key responsibilities

• Lead the Credit & Collections function for an assigned scope, including policies, risk mitigation, and escalation protocols.
• Own credit assessment, risk reviews, credit limits, payment terms, holds/releases, and exception management.
• Make credit recommendations within delegated authority, balancing risk, cash conversion, and commercial considerations.
• Manage collections strategy and executive‑level escalations for strategic, high‑value customers.
• Lead resolution of complex disputes, contractual payment issues, and sensitive collection matters.
• Own the monthly AR performance framework, targets, cash forecasting, ageing, write‑offs, and bad‑debt analysis.
• Translate AR and credit trends into actionable insights for finance leadership.
• Govern the Accenture collections engagement, overseeing SLAs, KPIs, quality, and corrective actions.
• Partner with Sales, Customer Success, RevOps, Legal, Billing, and Finance to resolve high‑impact credit and collection issues.
• Identify systemic drivers of delinquency and lead initiatives to strengthen controls and collection effectiveness.
• Drive process transformation using automation, AI, analytics, and scalable operating models.
• Serve as the subject‑matter authority for Credit & Collections, providing guidance on complex cases and policies.

Required profile

• Bachelor’s degree in Finance or Accounting; CA, CPA, CMA, ACCA or equivalent preferred.
• 12+ years of progressive experience in Credit & Collections, preferably in high‑growth SaaS or technology B2B.
• Proven experience in credit risk assessment, collections strategy, and managing strategic customer relationships.
• Strong understanding of usage‑based and subscription billing models and associated credit risks.
• Experience owning AR KPIs, collection targets, DSO, ageing, cash forecasting, write‑offs, and bad‑debt 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 to translate large datasets into clear financial and risk insights.
• Exceptional communication, negotiation, and stakeholder‑management skills.
• Willingness to work PST hours.

Required skills

• Advanced Excel.
• ERP/reporting systems experience (SAP, NetSuite, Salesforce preferred).
• Data analysis and financial modeling.
• Automation and AI application in finance or AR operations.