We are seeking a seasoned  Agile Project Manager  to lead the end-to-end implementation of  Enterprise Data Warehouse (EDW)  projects.
The ideal candidate will bridge the gap between complex data engineering and business strategy, managing high-stakes delivery within the banking sector.
You will be responsible for navigating the full data lifecycle, from ingestion to advanced visualization, while maintaining strict financial and dependency controls.
Key Responsibilities 1.
Agile Delivery & Governance Lead end-to-end implementation of Enterprise Data Warehouse projects using Agile methodologies.
Facilitate all Scrum ceremonies (Daily Stand-ups, Sprint Planning, Reviews, and Retrospectives).
Manage and track project budgets, ensuring financial transparency and ROI.
Identify, track, and mitigate cross-team dependencies and technical blockers.
2. Technical Project Oversight Supervise data management workflows and the end-to-end data lifecycle within the EDW.
Oversee development efforts involving  PySpark  or the  Informatica Suite (BDM) .
Manage projects hosted on the  Cloudera Data Platform (CDP) .
Drive the delivery of actionable insights through visualization tools like  Tableau  or  Power BI .
3. Strategic Alignment (Good to Have) Manage specialized projects involving  AI, Machine Learning, and Advanced Analytics .
Oversee the development of Python-based data models for Risk, Finance, Retail, and Corporate business units.
Implement and monitor Data Governance frameworks across the organizational data landscape.
Core Competencies Behavioural Drives High Performance:  Sets clear, challenging goals for the squad and ensures efficient, on-time delivery of data increments.
Stakeholder Management:  Maintains professional relationships with banking stakeholders, ensuring alignment between IT and business units.
Agility & Innovation:  Adapts quickly to changing regulatory requirements or shifting business priorities in the financial sector.
Technical (Must Have) EDW Expertise:  Proven track record in Banking/Financial domain data projects.
Tools:  Deep familiarity with PySpark, Informatica BDM, and Cloudera (CDP).
Agile Metrics:  Expert in tracking Velocity, Burn-down charts, and Capacity planning.
Qualifications & Experience Education:  Bachelor’s or Master’s degree in CS, IT, Data Science, or Finance.
Experience:  Minimum 5 years of specific Agile Project Management experience.
Certification:  PMP, CSM, or SAFe certification is highly desirable.