About the Job:
We are seeking a Data & MI Automation Project Manager to lead the planning, execution, and delivery of enterprise data and MI automation projects using Databricks and Confluent. The role involves developing detailed project requirements, plans, and delivering roadmaps, while ensuring resource allocation, budgeting, and adherence to timelines and quality standards. Additionally, the PM will manage vendors' deliverables and quality, handle issues and conflicts, and prepare mitigation strategies.
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Key Responsibilities:
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Project Planning & Execution
- Lead the 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.
- Handle issues and conflicts while preparing 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 escalate issues/risks.
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, particularly 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.
KPIs:
- On-time, on-budget delivery of data initiatives.
- Uptime and SLAs of data pipelines.
- User satisfaction and stakeholder feedback.
- Compliance with regulatory milestones.
