Build the data foundation

• Collaborate with Data Analysts, Data Scientists, Software Engineers, and cross-functional partners to design, build, and deploy scalable data pipelines that deliver high‑quality, governed analytical datasets across Finance domains.

• Engineer high‑quality batch/streaming data pipelines (SQL/Hive/PySpark) across Lake/Lakehouse to power curated finance domain marts and a governed semantic layer.

• Design dimensional/semantic models that enable self‑service analytics (Power BI / Fabric semantic models / SSAS Tabular) with performant DAX measures and row‑level security.

Operationalize Gen AI for Finance

• Ship production‑grade Gen AI features (retrieval‑augmented generation, prompt‑chaining/agents) on governed datasets - implement vectorization strategies and chunking that respect PII/SOX controls.

• Partner with DS/ML to train/fine‑tune and evaluate models - harden prompt templates, guardrails, and content filters - track hallucination, toxicity, and retrieval metrics (precision/recall, hit@k).

• Build reusable components (prompt libraries, evaluation harnesses, vector store abstractions) and integration SDKs/APIs for reuse across Finance use cases.

Platform, reliability & DevOps

• Implement CI/CD for data & AI (Git, Azure DevOps/GitHub Actions), data quality tests (Great Expectations or equivalent), and model/data deployment automation (MLflow/Fabric/Azure ML).

• Define observability (lineage, drift, freshness, cost) with alerts/SLAs - drive continuous hardening for performance (SQL/DAX tuning), cost efficiency, and reliability.

Analytics enablement

• Deliver high‑impact dashboards/scorecards (Power BI/Tableau) and governed certified datasets - coach analysts on best‑practice modeling and performance tuning.

Risk, governance & documentation

• Embed privacy‑by‑design (PII masking, purpose limitation), finance controls (SOX, audit trails), and robust documentation (runbooks, data dictionaries, model cards).

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.