Data Project Manager

3 weeks ago

Pune, Maharashtra, India Optimum Solutions Pte Ltd Full time

Job Summary:

We are seeking a results-driven Data 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, and financial services, and will be responsible for ensuring successful end-to-end delivery of complex data transformation initiatives aligned with business and regulatory requirements.

Key Responsibilities:

  • Lead planning, execution, and delivery of enterprise data projects using Databricks and Confluent.
  • Develop detailed project plans, delivery roadmaps, and work breakdown structures.
  • Ensure resource allocation, budgeting, and adherence to timelines and quality standards.
  • 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.
  • 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).
  • 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.

Required Skills & Experience:

  • 7+ years of experience in Project Management within the banking or financial services sector.
  • Proven experience leading data platform 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.
  • 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
  • PMP / Prince2 / Scrum Master certification
  • Familiarity with regulatory frameworks: BCBS 239, GDPR, CBUAE regulations
  • Strong understanding of data governance principles (e.g., DAMA-DMBOK)

Education:

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

KPIs:

  • On-time, on-budget delivery of data initiatives
  • Uptime and SLAs of data pipelines
  • User satisfaction and stakeholder feedback
  • Compliance with regulatory milestones

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