Description:
Responsibilities:
• Stakeholder Engagement: Act as the primary liaison between technical teams, product teams, and other stakeholders to ensure alignment with business objectives.
Program Planning & Execution: Define program scope, objectives, and deliverables in collaboration with stakeholders.
• Oversee task allocation, ensure timely execution, and track progress to completion.
Technical Expertise: Demonstrate a solid understanding of engineering concepts and processes.
• Experience with data marts and data warehousing is highly preferred.
Agile Leadership: Implement and promote Agile practices, particularly Scrum, within the team.
• Serve as a coach and mentor to team members, enhancing their understanding and adoption of Agile principles.
• Scrum Master
Responsibilities: Facilitate Scrum ceremonies such as Sprint Planning, Daily Standups, Sprint Reviews, and Retrospectives.
• Ensure the team adheres to Agile practices.
• Impediment Removal: Identify and address blockers affecting team progress.
Foster an environment that supports productivity and innovation.
• Cross-Functional Collaboration: Work closely with multiple teams to manage dependencies, risks, and program deliverables.
• Ensure transparency and effective communication across all levels.
Problem Solving & Continuous Improvement: Proactively address challenges and identify opportunities for process improvements.
Qualifications &
Skills:
• 10–15 years of experience in Project/Program Management, with at least 5 years leading Data Engineering or Data Lake programs.
• Strong experience delivering projects on the Azure Data Platform (ADF, ADLS Gen2, Databricks, Synapse, Azure SQL).
• Good understanding of ETL/ELT pipelines, data warehousing, and enterprise data lake architecture.
• Experience managing multiple concurrent data initiatives and coordinating global stakeholders.
• Strong stakeholder management, communication, risk management, and vendor coordination skills.
• Experience working in Agile/Scrum environments.