Senior Manager, Finance Data and AI

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.