Senior Manager, Finance Data and AI
Databricks · Posted Oct 13
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
The Finance Data and AI team owns the data foundations, finance semantic layer, financial reporting, and AI-enabled analytics that power Databricks' Finance and Accounting organization. The role sits at the intersection of finance/accounting domain expertise and modern BI/analytics, building a trusted data foundation on the Databricks platform and Finance DataLake. As Senior Manager, you will lead a team of finance data analysts and finance engineers, own the Finance semantic layer and reporting, and deliver AI use cases such as forecasting automation, anomaly detection, and natural language interfaces to financial data.
What you will do
- Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines, with built-in data validation and reconciliations, to ensure Finance and Accounting can trust the data behind every report
- Own and evolve the Finance semantic layer: metric definitions, business logic, and data models that ensure a single source of truth for financial reporting across Finance, Accounting, and the broader business
- Partner closely with Accounting during month-end and quarter-end close, providing hands-on support to ensure reporting data is accurate, timely, and reconciled, and driving timely resolution of data-related issues
- Build and maintain dashboards and reporting for monthly, quarterly, and executive-level reporting, translating financial data into decision-ready insight for Finance leadership and the CFO organization
- Identify, scope, and deliver AI use cases that materially change how Finance and Accounting work day to day, including forecasting automation, anomaly detection, and natural language interfaces (Genie Spaces) to financial data
- Build and maintain internal Finance applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service analytics for non-technical Finance and Accounting stakeholders
- Publish curated, well-documented finance datasets and metrics, enforcing row-level security and data access policies appropriate for financial data
- Partner with Accounting, FP&A, Internal Audit, and Procurement to deeply understand business and reporting requirements, and translate them into scalable semantic models and analytics products within the Finance DataLake
- Manage and grow a team of finance data analysts / finance engineers, setting standards for semantic modeling, dashboard design, and analytics delivery, reviewing work, and developing talent
- Enforce Git-based version control, change management, and CI/CD practices to satisfy SOX change management requirements for reporting and semantic layer changes
- Partner with IT and Engineering to provide requirements and perform UAT for new systems and processes affecting Finance data and reporting
- Establish data management, semantic modeling, and documentation standards and best practices for the Finance organization
- Serve as a proactive leader who regularly assesses Finance and Accounting pain points, aligns with cross-functional teams on organizational objectives, and holds the team accountable for high-quality, business-relevant results
Skills used in this role
What the employer is looking for
- 12+ years of experience in business intelligence, financial analytics, or analytics engineering, with deep exposure to finance/accounting operations, and at least 3 years in a people management or team lead capacity
- Strong understanding of core finance and accounting concepts (month-end/quarter-end close, revenue recognition, intercompany, chart of accounts, and financial reporting) and the ability to translate them into semantic models and metrics
- Proficiency in SQL and Python
- Experience with BI and data visualization tooling (Tableau, Looker, Power BI, or Databricks AI/BI dashboards), with a track record of building Finance-facing dashboards and self-service reporting products
- Familiarity with ELT/ETL concepts and how financial source systems (SAP, Salesforce, Stripe, Zuora, or similar) feed into a centralized data lake; direct pipeline-building experience is a plus, not a requirement
- Demonstrated ability to translate ambiguous Finance requirements into well-scoped, well-governed reporting and analytics deliverables
- Comfortable working across both technical (Engineering, Data Platform) and non-technical (Accounting, FP&A) stakeholders, translating data concepts for a financial audience and financial concepts for a technical audience
- Familiarity with AI/ML concepts and enthusiasm for applying them to Finance and Accounting workflows
Preferred qualifications
- Prior 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 and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
Recent coverage
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Databricks Closes $5 Billion Strategic Funding at $190 Billion Valuation2026-08-13
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Databricks Announces Strategic Funding at a $188 Billion Valuation2026-07-16
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Databricks Accelerates Investments in Agent Bricks, Lakebase and Databricks Apps2025-12-16