datamanagement specialist

Role purpose: Lead and improve enterprise data management practices to ensure high-quality, well-governed, accessible data that supports analytics, reporting, and business decision-making., * Define, implement, and maintain data management standards, processes, and controls across data lifecycle activities.

• Establish and monitor data quality rules, metrics, issue remediation workflows, and continuous improvement plans.
• Support data governance initiatives, including data ownership, stewardship, metadata, and policy adherence.
• Manage and optimize master data, reference data, and critical data domains to improve consistency and usability.
• Partner with business and technical stakeholders to translate requirements into data definitions, models, and documentation.
• Ensure data lineage, traceability, and documentation for key datasets and reporting outputs.
• Contribute to compliance and risk controls related to privacy, retention, and audit readiness.

• Strong experience in data management, data governance, and data quality within complex environments.
• Proficiency with metadata management, data cataloging, and data profiling tools.
• Solid understanding of relational databases, data modeling concepts, and SQL.
• Ability to define KPIs, create clear documentation, and communicate data standards to varied audiences.
• Strong stakeholder management, problem-solving, and process improvement capabilities.

Success measures

• Improved data quality, reduced defects, and faster issue resolution.
• Higher adoption of governance standards, clearer data definitions, and increased trust in reporting.