Key Responsibilities:
 •	Develop Data Quality Strategy: Establish and maintain enterprise-wide DQ frameworks, rules, and KPIs.
 •	Define and Govern CDEs:
 •	Identify, document, and classify Critical Data Elements (CDEs) in collaboration with business and technical stakeholders.
 •	Ensure CDEs are aligned with business processes, regulatory requirements, and strategic goals.
 •	Monitor and report on CDE-specific DQ KPIs to ensure they meet required standards.
 •	Design & Implement DQ Rules: Create validation rules and profiling checks for both general datasets and CDEs.
 •	DQ Monitoring & Reporting: Develop DQ dashboards and scorecards to track quality dimensions (accuracy, completeness, timeliness, consistency, uniqueness, validity).
 •	Root Cause Analysis: Investigate data quality issues impacting CDEs and recommend technical or process-oriented remediation actions.
 •	Metadata & Lineage: Ensure CDEs are linked to metadata repositories and data lineage tools for full traceability.
 •	Collaboration: Work with data owners, data stewards, and governance committees to prioritize DQ initiatives around CDEs.
 •	Compliance Support: Ensure CDEs comply with regulatory frameworks (e.g., PDPL, GDPR, HIPAA, ISO standards).
 •	Tool Expertise: Administer and leverage Data Quality and Governance platforms (Informatica Axon, Collibra, Talend DQ, etc.) to manage DQ rules and CDE repositories.
Qualifications & Experience
 •	Bachelor’s degree in computer science, Data Management, or related fields.
 •	3–7 years of experience in Data Quality, Data Governance, or Master Data Management.
 •	Proven experience in:
 •	Identifying, defining, and governing CDEs.
 •	Establishing DQ metrics for CDEs.
 •	Profiling, cleansing, and validating datasets with a focus on CDEs.
 •	Knowledge of Data Governance frameworks (DAMA-DMBOK) and regulatory standards (PDPL, GDPR, etc.).
 •	Familiarity with enterprise data platforms, metadata repositories, and lineage tools.