# Senior Manager, Finance Data and AI

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Bengaluru, India
**Role:** Data Analytics
**Experience:** 12+ years
**Skills:** SQL, Python, Databricks Jobs, Lakeflow Declarative Pipelines, Tableau, Looker, Power BI, Databricks Ai/Bi, SAP, Salesforce, Stripe, Zuora, Genie Spaces, Git, CI/CD
**Posted:** 2026-08-12

> Leads Finance data foundations, semantic modeling, reporting, and AI-enabled analytics while managing a team of finance data professionals. The role requires substantial business intelligence or financial analytics experience, strong finance and accounting knowledge, and proficiency in SQL and Python.

## Job Description

## Responsibilities
- Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines, with built-in data validation and reconciliations.
- Own and evolve the Finance semantic layer, including metric definitions, business logic, and data models for financial reporting.
- Partner with Accounting during month-end and quarter-end close to ensure reporting data is accurate, timely, and reconciled.
- Build and maintain dashboards and reporting for monthly, quarterly, and executive-level reporting.
- Identify and deliver AI use cases for Finance and Accounting, including forecasting automation, anomaly detection, and natural-language interfaces through Genie Spaces.
- Build and maintain internal Finance applications, dashboards, and Genie Spaces for self-service analytics.
- Publish curated, documented finance datasets and metrics, enforcing row-level security and data-access policies.
- Partner with Accounting, FP&A, Internal Audit, and Procurement to translate reporting requirements into semantic models and analytics products.
- Manage and grow a team of finance data analysts and finance engineers.
- Enforce Git-based version control, change management, and CI/CD practices for SOX-compliant reporting and semantic-layer changes.
- Partner with IT and Engineering on requirements and UAT for systems and processes affecting Finance data and reporting.
- Establish data management, semantic modeling, and documentation standards for Finance.
- Assess Finance and Accounting pain points, align cross-functional teams, and ensure high-quality, business-relevant results.

## Requirements
- 12+ years of experience in business intelligence, financial analytics, or analytics engineering, with deep exposure to finance and accounting operations.
- At least 3 years in a people-management or team-lead capacity.
- Strong understanding of month-end and quarter-end close, revenue recognition, intercompany accounting, chart of accounts, and financial reporting.
- Proficiency in SQL and Python.
- Experience with BI and data-visualization tools such as Tableau, Looker, Power BI, or Databricks AI/BI dashboards.
- Familiarity with ELT/ETL concepts and financial source systems such as SAP, Salesforce, Stripe, and Zuora.
- Ability to translate ambiguous Finance requirements into well-scoped, governed reporting and analytics deliverables.
- Ability to work with technical and non-technical stakeholders and translate between data and finance concepts.
- Familiarity with AI/ML concepts and applying them to Finance and Accounting workflows.

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

## Benefits
- Comprehensive benefits and perks, with region-specific details available from Databricks.

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