Data and AI Lead, FinanceActive

This role is a part of the Finance Organisation.

What you'll do

• Design and develop ETL pipelines using Databricks SQL and Python / PySpark to: enhance reporting, automate journal entries, and transform core financial processes across various domains in accounting and FP&A, such as revenue, expenses, equity, commissions, and tax

• Architect, build, and own the most complex finance data pipelines in the: Finance data lake using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations

• Lead the technical design of AI use cases for the Finance and Accounting: organisation, including forecasting automation, anomaly detection, and natural language interfaces to financial data

• Build and maintain internal Finance applications (Databricks Apps, Genie: Agents, AI/BI dashboards) that enable self-service for non-technical Finance stakeholders

• Design and deliver curated Finance datasets and enforce row-level security,: data access policies, and Unity Catalog governance standards

• Define and champion coding standards, data modelling conventions,: documentation practices, and testing frameworks across the Finance engineering team

What they're looking for

• Enforce and evolve Git-based version control, pull-request review processes,: and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements
• Lead technical scoping and solutioning for requirements from Accounting,: FP&A, Internal Audit, and Procurement teams
• Serve as the primary technical point of contact during financial close,: ensuring data accuracy and timely resolution of pipeline issues
• Partner with IT and Engineering on new system integrations, providing: detailed technical requirements and leading UAT