Senior Manager, Finance Data and AI

Навыки

Обязанности

• 01Lead the design, development, and delivery of data pipelines, AI use cases, and internal applications for Databricks' Finance and Accounting organization
• 02Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations
• 03Identify, scope, and deliver AI use cases for Finance and Accounting, including forecasting automation, anomaly detection, and natural language interfaces to financial data
• 04Build and maintain internal Finance applications (Databricks Apps, Genie Spaces, dashboards) for self-service by non-technical Finance stakeholders
• 05Build reports and dashboards for monthly, quarterly, and executive-level reporting
• 06Publish curated finance datasets and enable self-service analytics while enforcing row-level security and data access policies
• 07Partner with Accounting, FP&A, Internal Audit, and Procurement teams to translate business requirements into scalable technical solutions within the Finance DataLake
• 08Manage and grow a team of finance data engineers, setting technical standards, reviewing work, and developing talent
• 09Enforce Git-based version control, pull-request reviews, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements
• 10Provide support during financial close and ensure timely resolution of data-related issues
• 11Partner with IT and Engineering to provide requirements and perform UAT of new systems and processes
• 12Establish coding, data management, and documentation standards and best practices
• 13Serve as a proactive leader who regularly assesses pain points, aligns with cross-functional teams, and inspires team members to achieve high-quality results

Требования

• 0115+ years of experience in data engineering, finance systems, or analytics engineering
• 02At least 5 years in a people management or team lead capacity
• 03Proficiency in SQL and Python for data pipeline development
• 04Experience with Apache Spark or the Databricks platform is a strong plus
• 05Hands-on experience building and maintaining ELT/ETL pipelines connecting financial source systems (Netsuite, Salesforce, Stripe, Zuora, or similar) into a centralized data lake
• 06Understanding of core finance and accounting concepts including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting
• 07Demonstrated ability to translate ambiguous Finance requirements into well-scoped, maintainable technical deliverables
• 08Comfortable working across both technical and non-technical stakeholders
• 09Experience with BI and data visualization tooling; ability to build Finance-facing dashboards and self-service products

Условия

• 01Position based in Bengaluru
• 02High-impact role at the intersection of finance domain expertise and data platform capability
• 03Embedded in a Finance organization that prioritizes data and AI
• 04Autonomy to define how the Finance DataLake and modern Finance data infrastructure should evolve