About the Job:
The Data & MI Automation Project Manager (PM) role involves leading the planning, execution, and delivery of enterprise data and MI automation projects. The position requires collaboration with various stakeholders, including data engineers and business analysts, to ensure the achievement of project goals. The PM will be responsible for ensuring proper resource allocation, budgeting, and adherence to quality standards while acting as the primary liaison among business units, technology teams, and vendors.
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Key Responsibilities:
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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 vendor deliverables and quality of output, addressing issues and conflicts with mitigation strategies.
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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.
Required Skills & Experience:
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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 with 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.
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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
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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)
Education:
Bachelor’s or Master’s in Computer Science, Information Systems, Engineering, or related field.
Key Performance Indicators (KPIs):
- On-time, on-budget delivery of data initiatives
- Uptime and SLAs of data pipelines
- User satisfaction and stakeholder feedback
- Compliance with regulatory milestones
Location:
Dubai, Dubai, United Arab Emirates (Hybrid)
Job Type:
Full-time
Language Requirements:
Not specified.
