Senior Manager, Finance Data and AI
Core
Lead the design, development, and delivery of data pipelines, AI use cases, and internal applications powering Databricks' Finance and Accounting organization.
Role type
Senior Manager, Finance Data and AI
Builds
Data pipelines, AI use cases (forecasting, anomaly detection), internal Finance applications, and executive dashboards on the Databricks platform.
Domain
Finance / Accounting / Data Engineering / AI
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data engineering, Finance systems, Analytics engineering, People management, SQL, Python, Apache Spark, Databricks platform, ELT/ETL pipelines, Core finance concepts (close processes, revenue recognition, intercompany, chart of accounts), BI and data visualization, AI/ML concepts.
Preferred skills
High-growth SaaS or cloud infrastructure company experience, AI/BI tools, Genie, LLM-powered applications, Declarative Automation Bundles, CI/CD for Finance DataLake, CPA, CFA, formal finance/accounting background.
Technologies
Databricks, Lakeflow, Databricks Jobs, Databricks Apps, Genie Spaces, SQL, Python, Apache Spark, Netsuite, Salesforce, Stripe, Zuora, GitHub Actions.
Responsibilities
Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines; Identify, scope, and deliver AI use cases for Finance; Build and maintain internal Finance applications; Build reports and dashboards for executive-level reporting; Publish curated finance datasets and enforce row-level security; Partner with Accounting, FP&A, Internal Audit, and Procurement teams; Manage and grow a team of finance data engineers; Enforce Git-based version control, pull-request reviews, and CI/CD pipelines; Provide support during financial close; Partner with IT and Engineering for UAT; Establish coding, data management, and documentation standards.
Seniority
Senior Manager, hands-on IC with people management