Data Project Manager

1 week ago

Doha, Baladīyat ad Dawḩah, Qatar E-Solutions IT Services Pvt Ltd Full time

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)

Desired Candidate Profile

� Project Planning & Execution

  • Lead planning, execution, and delivery of enterprise data and MI automation projects using Databricks and Confluent.

  • Develop detailed requirements, project plans, delivery roadmaps, and work breakdown structures.

  • Ensure resource allocation, budgeting, and adherence to timelines and quality standards.

  • Manage vendors deliverables and quality of output

  • Manage issues, conflicts and prepare mitigation

� Stakeholder & Team Management

  • Collaborate with data engineers, architects, business analysts, and platform teams to align on project goals.

  • Act as the primary liaison between business units, technology teams, and vendors.

  • Facilitate regular updates, steering committee meetings, and issue/risk escalations.

� Technical Oversight

  • Oversee solution delivery on Databricks (for data processing, ML pipelines, analytics).

  • Manage real-time data streaming pipelines via Confluent Kafka.

  • Ensure alignment with data governance, security, and regulatory frameworks (e.g., GDPR, CBUAE, BCBS 239).

� Risk & Compliance

  • Ensure all regulatory reporting data flows are compliant with local and international financial standards.

  • Manage controls and audit requirements in collaboration with Compliance and Risk teams

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