Data Project Manager

We are seeking a results-driven Data & MI Automation Project Manager to lead enterprise data initiatives leveraging Databricks and Confluent Kafka in a regulated banking environment. The role requires strong expertise in data platforms, project governance, MI automation, and regulatory compliance to ensure successful end-to-end delivery of complex data transformation initiatives.

Required Skills & Experience:

Must-Have

• 7+ years of Project Management experience in banking or financial services.

• Proven experience leading data & MI automation projects, especially with Databricks and Confluent Kafka.

• Strong knowledge of data architecture, pipelines, and streaming technologies.

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

• Proficient in 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)

• Bachelor's or Master's in Computer Science, Information Systems, Engineering, or related field.
  
  Thanks
  Premalatha