Summary:

We are seeking a results-driven Data & MI automation Project Manager (PM) to lead data initiatives leveraging Databricks and Confluent Kafka in a regulated banking environment. The ideal candidate will have a strong background in data platforms, project governance, MI automation in financial services industry, and will be responsible for ensuring successful end-to-end delivery of complex data transformation initiatives aligned with business and regulatory requirements.

✅ Must-Have:

- 7+ years of experience in Project Management within the banking or financial services sector.

- Proven experience leading data and MI automation projects (especially Databricks and Confluent Kafka).

- Strong understanding of data architecture, data pipelines, and streaming technologies.

- Experience managing cross-functional teams (onshore/offshore).

- Strong command of Agile/Scrum and Waterfall methodologies.

✅ Technical Exposure:

- Databricks (Delta Lake, MLflow, Spark)

- Confluent Kafka (Kafka Connect, kSQL, Schema Registry)

- Azure or AWS Cloud Platforms (preferably Azure)

- Integration tools (Informatica, Data Factory), CI/CD pipelines

- Oracle ERP Implementation experience

- PowerBI

✅ Preferred:

- PMP / Prince2 / Scrum Master certification

- Familiarity with regulatory frameworks: BCBS 239, GDPR, CBUAE regulations

- Strong understanding of data governance principles (e.g., DAMA-DMBOK)