About the job
Join our dynamic team at gsstech-group as an experienced Agile Project Manager specializing in the implementation of Enterprise Data Warehouse (EDW) projects. In this role, you will be pivotal in aligning intricate data engineering processes with business strategies, ensuring successful project delivery in the banking sector. You will oversee the complete data lifecycle, from data ingestion to advanced visualization, all while adhering to stringent financial and dependency controls.
Key Responsibilities:
- Agile Delivery & Governance: Spearhead the complete implementation of EDW projects utilizing Agile methodologies. Conduct all Scrum ceremonies, including Daily Stand-ups, Sprint Planning, Reviews, and Retrospectives. Manage project budgets effectively, guaranteeing financial transparency and return on investment. Identify, monitor, and alleviate cross-team dependencies and technical obstacles.
- Technical Project Oversight: Supervise data management workflows and the end-to-end data lifecycle within the EDW. Oversee development initiatives involving PySpark and the Informatica Suite (BDM). Manage projects hosted on the Cloudera Data Platform (CDP). Propel the delivery of actionable insights using visualization tools such as Tableau or Power BI.
- Strategic Alignment (Good to Have): Manage specialized projects incorporating AI, Machine Learning, and Advanced Analytics. Supervise the development of Python-based data models for various business units including Risk, Finance, Retail, and Corporate. Implement and monitor Data Governance frameworks across the organizational data landscape.
Core Competencies:
- Behavioral: Drive high performance by setting clear, ambitious goals for the team, ensuring timely delivery of data increments. Maintain strong stakeholder relationships within the banking sector, ensuring alignment between IT and business units. Exhibit agility and innovation by adapting to evolving regulatory requirements and shifting business priorities in finance.
- Technical (Must Have): Extensive experience in banking/financial domain data projects. Proficiency with tools such as PySpark, Informatica BDM, and Cloudera (CDP). Expertise in measuring Agile metrics including Velocity, Burn-down charts, and Capacity planning.

