Senior Manager, Finance Data and AI

Databricks
Bengaluru
Workplace: OnsiteFull timeFunction: Finance & AccountingExperience: 15+ yearsSkills: ["Leadership","Cross-functional collaboration","Stakeholder management","Translating requirements","Data product ownership"]

Lead the design, development, and delivery of Finance data pipelines, AI use cases, and internal applications that power Databricks Finance and Accounting. You’ll orchestrate workflows with Databricks Jobs and Lakeflow Declarative Pipelines, build Finance dashboards and self-service analytics, and enable governed access with row-level security. Partner with Accounting, FP&A, Internal Audit, Procurement, IT, and Engineering while managing and growing a team of finance data engineers.

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FursaFursa
Databricks
Databricks
2 months ago

Senior Manager, Finance Data and AI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Lead the design, development, and delivery of Finance data pipelines, AI use cases, and internal applications that power Databricks Finance and Accounting. You’ll orchestrate workflows with Databricks Jobs and Lakeflow Declarative Pipelines, build Finance dashboards and self-service analytics, and enable governed access with row-level security. Partner with Accounting, FP&A, Internal Audit, Procurement, IT, and Engineering while managing and growing a team of finance data engineers.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Finance & Accounting
Seniority: Sr. Manager level

Key Responsibilities

  • •Design, develop, and deliver Finance data pipelines, AI use cases, and internal applications for Finance and Accounting.
  • •Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with data validation and reconciliations.
  • •Build Finance applications (Databricks Apps, Genie Spaces, dashboards) for self-service and publish governed curated datasets for analytics.
  • •Build reports and dashboards for monthly, quarterly, and executive-level reporting, enforcing data access policies.
  • •Manage and grow a team of finance data engineers; enforce Git-based version control and CI/CD processes to satisfy SOX change management requirements.

Key Requirements

  • •15+ years of experience in data engineering, finance systems, or analytics engineering, with at least 5 years in a people management or team lead capacity.
  • •Proficiency in SQL and Python for data pipeline development; experience with Apache Spark or the Databricks platform is a strong plus.
  • •Hands-on experience building and maintaining ELT/ETL pipelines connecting financial source systems (Netsuite, Salesforce, Stripe, Zuora, or similar) into a centralized data lake.
  • •Understanding of core finance and accounting concepts including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting.
  • •Ability to translate ambiguous Finance requirements into well-scoped, maintainable technical deliverables.
Experience:15+ yearsData engineeringFinance systemsAnalytics engineeringELT/ETLAI/MLBISaaS
Skills:LeadershipCross-functional collaborationStakeholder managementTranslating requirementsData product ownership
Languages:English
Tech Stack:DatabricksFinance DataLakeDatabricks JobsLakeflow Declarative PipelinesApache SparkSQLPythonELTETLNetsuiteSalesforceStripeZuoraDatabricks AppsGenie SpacesDashboardsRow-level securityGitPull-request reviewsCI/CD

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn