Data Management Lead Specialist
Role Overview
The role handles complex data-management activities with general direction, develops solutions to analytical challenges, and addresses issues escalated from junior levels.
It supports data policies, awareness and automation plans, and delivery of data-management projects and services requested by ZATCA functions.
Key Skills for This Role
Full Job Posting
Role purpose
The role handles complex data-management activities with general direction, develops solutions to analytical challenges, and addresses issues escalated from junior levels.
It supports data policies, awareness and automation plans, and delivery of data-management projects and services requested by ZATCA functions.
Data management planning
- Review NDMO-approved standards and policies and update ZATCA data guides to maintain alignment.
- Assess data-management needs and challenges, identify requirements, and define improvement areas.
- Define data-management policies, procedures, and guidelines aligned with strategy and organizational priorities.
- Develop awareness plans for data protection, automation, and storage, and establish data-management KPIs.
- Communicate data policies, guidelines, strategies, and plans to stakeholders and support understanding.
- Develop and install programs for metadata and information assets to support data integrity and quality.
- Define data owners and establish roles, responsibilities, and rules for data systems and breach traceability.
Data management delivery
- Monitor implementation of data-management plans, identify issues, and ensure timely resolution.
- Develop and execute improvement projects in line with timelines and management direction.
- Monitor improvement action plans and report compliance with data standards and policies to stakeholders.
Operations and people management
- Follow relevant policies, processes, and standard operating procedures.
- Help resolve escalated problems, support junior staff, and escalate complex issues to the appropriate person.
- Train junior staff when applicable, set direction and priorities, delegate work, and monitor workflow.
Education and experience
- A bachelor's degree in Data Science, Computer Science, or equivalent is required.
- At least four years of relevant experience is required.
Competencies
- IT compliance, policy making, and data analytics are listed at proficient level.
- Data management planning and design and data processing are listed at advanced level.
- Database design and operations, professionalism, results orientation, and customer focus are listed at proficient level.
- Collaboration and communication, and enabling change and innovation, are listed at developing level.
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