Data Quality Manager

Key Responsibilities
1. Strategic Leadership:
Develop and execute the organization’s data quality strategy, policies, and roadmap.
Establish data quality metrics, KPIs, and reporting frameworks aligned with business goals.
Champion a data quality culture across the organization through training and awareness programs.
2. Team Management:
Lead, mentor, and grow a team of data quality leads, analysts, and associates.
Oversee team capacity planning, performance reviews, and career development.
3. Data quality oversight:
Define and implement data quality standards, validation rules, and monitoring processes.
Ensure completeness, accuracy, consistency, and timeliness of data across all systems (CRM, CMS, Web applications etc.).
Investigate root causes of data quality issues and drive corrective/preventive actions.
4. Governance and compliance:
Collaborate with the Data Governance team to ensure alignment with enterprise data policies, including data lineage and stewardship models.
Support compliance with regulatory requirements through strong quality controls.
5. Cross functional Collaboration:
Partner with IT, Data Engineering, BI, Product, and Business stakeholders to ensure data quality requirements are embedded in systems and processes.
Participate in major data initiatives including migrations, platform upgrades, and integrations.
6. Reporting and insights:
Develop and maintain dashboards/reports that provide visibility into data quality trends, issues, and improvement efforts.
Communicate data health status to senior leadership and recommend strategic improvements.
Requirements & Qualification
6-8 years of experience in data management, knowledge base operations, content management or information governance.
Minimum 4–6 years of experience leading data quality, knowledge management, or data governance functions within a mid-to-large-scale organization.
Proven track record of building, maintaining, and optimizing enterprise knowledge bases, content repositories, or CMS-driven platforms.
Extensive experience designing and implementing data quality frameworks, validation processes, governance policies, and audit mechanisms.
Strong experience managing large-scale data entry, content migration, content standardization, and metadata management initiatives.
Demonstrated success leading cross-functional teams, including Data Entry Specialists, Knowledge Base Administrators, Content Managers, and Quality Analysts.