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Data PM

Unlock employer Dubai, United Arab Emirates Posted: 26 Mar 2026

Financial

  • Estimate: $80k - $120k*
  • Zero income tax location

Accessibility

  • Hybrid
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

About the Job:
Lead the planning, execution, and delivery of enterprise data and MI automation projects using Databricks and Confluent in a hybrid, full-time role located in Dubai, United Arab Emirates. Collaborate with a diverse team of data professionals to drive project goals and ensure alignment with data governance and regulatory requirements.

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Key Responsibilities:

  • Project Planning & Execution: Develop detailed project plans and roadmaps for enterprise data and MI automation projects. Manage vendor deliverables and ensure adherence to timelines, budget, and quality standards.
  • Stakeholder & Team Management: Act as the primary liaison among business units, technology teams, and vendors, facilitating regular updates and steering committee meetings.
  • Technical Oversight: Oversee the delivery of solutions on Databricks and manage real-time data streaming pipelines via Confluent Kafka while ensuring compliance with data governance frameworks.

Required Skills & Experience:

  • Must-Have:

    • 7+ years of project management experience in banking or financial services.
    • Proven experience in leading data and MI automation projects, especially with Databricks and Confluent Kafka.
    • Strong understanding of data architecture and streaming technologies.
    • Ability to manage cross-functional teams using Agile/Scrum and Waterfall methodologies.
  • Technical Exposure:

    • Databricks (Delta Lake, MLflow, Spark), Confluent Kafka (Kafka Connect, kSQL), Azure or AWS platforms (preferably Azure), integration tools, CI/CD pipelines, and Oracle ERP implementation.
    • PowerBI experience is also beneficial.
  • Preferred:

    • PMP / Prince2 / Scrum Master certification.
    • Familiarity with regulatory frameworks like BCBS 239, GDPR, CBUAE regulations.
    • Strong understanding of data governance principles and a relevant degree in Computer Science or related fields.

KPIs:

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

Language requirements were not mentioned in the job description.

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