Job Description:
Skills Required:

Data Management Expertise: Proficiency in data architecture, data modeling, and data quality assurance is essential.

Project Management: Strong project management skills are vital for planning, executing, and monitoring data projects.

Technical Proficiency: Familiarity with database systems, ETL (Extract, Transform, Load) processes, and data analytics tools.

Communication: Effective communication is necessary to liaise between technical and non-technical teams.

Problem-Solving: The ability to troubleshoot issues and find innovative solutions is crucial.

Data Governance Knowledge: Understanding data governance principles and compliance regulations is important.

Leadership: Leading cross-functional teams and driving collaboration is a significant aspect of the role.

Main Functions and Activities: The primary functions and activities of a Data Project Manager can be summarized as follows:

Project Planning: They define project scope, objectives, and deliverables, creating a detailed project plan.

Team Leadership: Building and leading cross-functional teams, ensuring they work cohesively.

Data Strategy: Developing data strategies aligned with organizational goals and data governance policies.

Resource Management: Managing budgets, timelines, and resources effectively.

Quality Assurance: Ensuring data quality through data profiling, cleansing, and validation.

Risk Management: Identifying and mitigating risks that can impact project success.

Reporting and Documentation: Creating comprehensive project reports and documentation for stakeholders.

Compliance and Security: Ensuring data projects comply with data protection regulations and security protocols.