
Chief Data Engineering Project Lead
2 days ago
We seek a skilled and experienced project manager to lead our data engineering and analytics projects.
The ideal candidate will have a proven track record of delivering successful projects, managing budgets and resources, and collaborating with cross-functional teams.
Key Responsibilities:- Manage the full lifecycle of data engineering and analytics projects, including project scope, timelines, milestones, resource needs, and deliverables.
- Define project requirements, manage budgets, and allocate resources effectively.
- Use Agile, Scrum, or hybrid methodologies to ensure iterative delivery and continuous improvement.
- Serve as the primary point of contact for clients and internal teams across all data initiatives.
- Translate business needs into actionable technical requirements and facilitate alignment across teams.
- Lead and coordinate cross-functional teams including data engineers, BI developers, analysts, and QA testers.
- Ensure appropriate allocation of resources across concurrent projects and clients.
- Manage project delivery using modern cloud data platforms.
- Oversee BI development using Tableau and/or Power BI, ensuring dashboards meet user needs and follow visualization best practices.
- Manage initiatives involving ETL/ELT processes, data modeling, and real-time analytics pipelines.
- 15 years of IT experience with 8+ years of proven project management experience in delivering data, AI, ML, BI/analytics-focused environments.
- Experience delivering projects with cloud platforms (e.g., Azure, AWS, GCP) and data platforms like Snowflake.
- Proficiency in managing BI projects preferably Tableau and/or Power BI.
- Solid understanding of the data lifecycle including ingestion, transformation, visualization, and reporting.
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