Data Governance Manager
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About the Role
π DATA GOVERNANCE MANAGERπΌ POSITION OVERVIEW π Mid-Level to Senior Management Role π’ Data Management / Information Governance / Analytics π Data Quality | Data Governance | Compliance | Data Strategy | Risk Management Data Governance Manager The Data Governance Manager is responsible for developing and maintaining enterprise-wide data governance programs that ensure data is accurate, secure, consistent, and compliant. This role works across business and technology t
Key Skills for This Role
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π DATA GOVERNANCE MANAGERπΌ POSITION OVERVIEW
π Mid-Level to Senior Management Role
π’ Data Management / Information Governance / Analytics
π Data Quality | Data Governance | Compliance | Data Strategy | Risk Management
Data Governance Manager
- The Data Governance Manager is responsible for developing and maintaining enterprise-wide data governance programs that ensure data is accurate, secure, consistent, and compliant.
- This role works across business and technology teams to establish data policies, improve data quality, and maximize the value of organizational data assets.
- π― ROLE OBJECTIVE
- Establish enterprise data governance frameworks π
- Improve data quality and integrity β
- Ensure compliance with data regulations π
- Develop data standards and policies π
- Support analytics and business intelligence initiatives π
- Promote data ownership and accountability π€
- Reduce data-related risks π‘οΈ
- Enable data-driven decision-making π
π§© CORE RESPONSIBILITIESπ Data Governance Strategy
Develop and implement data governance frameworks, policies, standards, and operating models.
β Data Quality Management
Monitor data quality metrics and implement initiatives to improve accuracy, consistency, and completeness.
π Policy & Standards Development
Establish enterprise standards for data definitions, classifications, metadata, and governance procedures.
π Data Privacy & Compliance
Ensure compliance with privacy regulations, security requirements, and internal governance policies.
ποΈ Data Stewardship Management
Partner with data owners and data stewards to maintain accountability for critical data assets.
π Metadata & Data Lineage
Manage metadata repositories, data catalogs, lineage tracking, and information asset documentation.
π Analytics & Reporting Support
Enable trusted data for reporting, business intelligence, advanced analytics, and AI initiatives.
π€ Stakeholder Engagement
Collaborate with executives, IT teams, risk managers, compliance teams, and business departments.
π§ IDEAL CANDIDATE PROFILE
β Strong understanding of data governance principles π
β Excellent analytical and problem-solving skills π§
β Knowledge of data quality and master data management β
β Strong communication and stakeholder management abilities π€
β Understanding of data privacy and regulatory requirements π
β Strategic and detail-oriented mindset π
π EDUCATION & QUALIFICATIONS
π Bachelor's Degree in Information Systems, Computer Science, Data Analytics, Business Administration, Information Management, or related field
π Preferred certifications:
β’ CIPP (Certified Information Privacy Professional)
- π Experience with:
- Data governance frameworks
- Data quality management
β’ Master Data Management (MDM)
- Metadata management
- Data catalog platforms
- π Knowledge of:
- SQL and databases
- Data warehousing
- Business intelligence tools
- Cloud data platforms
- Data security and privacy regulations
- π CAREER PROGRESSION
π Data Governance Manager
π’ Head of Data Governance
π Director of Data Management
π WHAT YOU WILL GAIN
- π Expertise in enterprise data management
- π Deep understanding of data security and compliance
- π Experience supporting analytics and AI programs
- π€ Leadership exposure across business and technology functions
- π‘οΈ Knowledge of governance and risk management frameworks
- π Strong pathway toward senior data leadership roles
- π ROLE SUMMARY
- The Data Governance Manager ensures that organizational data is reliable, secure, and strategically managed.
- This role plays a crucial part in enabling trusted analytics, regulatory compliance, and data-driven decision-making across the enterprise.
- π Govern Data
- β Improve Quality
- π Ensure Compliance
- π€ Enable Collaboration
- π Drive Data Excellence
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