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Role Overview:
We are currently looking for a Data Project Manager to support data-driven initiatives within a modern data environment. The role involves managing data projects end-to-end, coordinating technical teams, and ensuring the successful delivery of data and analytics solutions.
Key Responsibilities
- Lead data projects end-to-end (scoping, planning, execution, and delivery)
- Gather and formalize business data requirements
- Translate business needs into functional and technical specifications
- Coordinate cross-functional teams including Data Engineering, Data Science, BI, and IT
- Monitor project progress, risks, timelines, and budgets
- Define and track project performance KPIs
- Ensure data quality, governance, and compliance
- Communicate project updates with stakeholders and leadership
- Contribute to data strategy definition and process improvement
Required Qualifications
- Master’s degree (or equivalent) in Data, Computer Science, Engineering, Business Analytics, or related field
- 3–7 years of experience in Data / IT / Analytics project management
- Strong understanding of modern data architectures
Examples:
- Data Lake
- Data Warehouse
- ETL / ELT pipelines
- Experience with cloud environments
Examples:
- AWS
- Azure
- GCP
- Experience with project management tools
Examples:
- Jira
- Confluence
- Trello
- Asana
- Knowledge of Agile methodologies
Examples:
- Scrum
- Kanban
Technical Skills
- SQL and understanding of databases
- Business Intelligence tools such as:
- Power BI
- Tableau
- Looker
- Understanding of Data Engineering concepts
- Knowledge of Data Governance and Data Quality frameworks
- Understanding of data pipelines
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