Availability: Immediate to 30 days

Experience: 7+ Years in Banking / Financial Services

We're looking for a results-driven Data Project Manager to lead large-scale data initiatives for our banking client. This role requires experience with Databricks, Confluent Kafka, and strong project governance in a regulated environment.

Key Responsibilities:

▪️ Lead end-to-end delivery of data platform projects using Databricks and Confluent Kafka

▪️ Manage project planning, roadmaps, work breakdown, budgeting, and resource allocation

▪️ Oversee real-time streaming pipelines and analytics workloads

▪️ Align delivery with GDPR, CBUAE, BCBS 239 and other regulatory frameworks

▪️ Collaborate with cross-functional teams including engineers, architects, analysts & vendors

▪️ Track risks, issues, and compliance milestones using structured governance models

Must-Have Experience:

▪️ 7+ years in Project Management within banking/financial services

▪️ Hands-on project delivery using Databricks and Confluent Kafka

▪️ Deep understanding of data architecture, pipelines, and streaming technologies

▪️ Experience leading onshore/offshore teams

▪️ Working knowledge of Agile/Scrum and Waterfall methodologies

Technical Exposure To:

▪️ Databricks (Delta Lake, MLflow, Spark)

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

▪️ Azure or AWS (Azure preferred)

▪️ Informatica, Data Factory, and CI/CD pipelines

▪️ Oracle ERP Implementation

🎯 Preferred Qualifications:

▪️ PMP / Prince2 / Scrum Master certification

▪️ Familiarity with BCBS 239, GDPR, and CBUAE regulations

▪️ Knowledge of DAMA-DMBOK or similar data governance frameworks