Senior Manager, Finance Data and AI

The Senior Manager, Finance Data and AI will lead the team responsible for the data foundations, finance semantic layer, financial reporting and AI-enabled analytics used by Databricks’ Finance and Accounting organization. Based in Bengaluru and reporting to the Senior Director, Finance Data, AI & Strategy, the role combines finance and accounting domain expertise with BI and analytics leadership.

Responsibilities

• Orchestrate Databricks Jobs and Lakeflow Declarative Pipelines with data validation and reconciliations; maintain trusted reporting data, particularly during month-end and quarter-end close.
• Own financial metric definitions, business logic and semantic models, and publish documented datasets with appropriate row-level security and access policies.
• Deliver dashboards and monthly, quarterly and executive reporting for Finance leadership and the CFO organization. Build Databricks Apps, Genie Spaces and other self-service analytics tools for non-technical stakeholders.
• Identify and deliver Finance AI use cases, including forecasting automation, anomaly detection and natural-language access to financial data.
• Partner with Accounting, FP&A, Internal Audit and Procurement on requirements; manage finance data analysts and engineers; establish modeling, documentation and delivery standards. Apply Git-based version control, change management and CI/CD to meet SOX requirements, and work with IT and Engineering on requirements and user acceptance testing for new systems.

Requirements

• At least 12 years in business intelligence, financial analytics or analytics engineering, with deep exposure to finance and accounting operations, including at least 3 years in people management or a team-lead role.
• Strong knowledge of financial close, revenue recognition, intercompany accounting, chart of accounts and financial reporting; proficiency in SQL and Python; and experience delivering Finance-facing dashboards using BI tools such as Tableau, Looker, Power BI or Databricks AI/BI dashboards.
• Familiarity with ELT/ETL, financial source systems feeding a centralized data lake, and AI/ML concepts. The role requires the ability to turn ambiguous Finance needs into governed analytics deliverables and communicate across technical and non-technical teams. Direct pipeline-building experience is a plus, not a requirement.

Preferred

Experience in a high-growth SaaS or cloud infrastructure company; exposure to AI/BI tools, Genie or LLM-powered applications; Declarative Automation Bundles or CI/CD for Finance DataLake pipelines; or a CPA, CFA or formal finance/accounting background.