
Strong understanding of data governance principles, frameworks and best practices.
- Strong understanding of data governance principles, frameworks (e.g., DAMA-DMBOK, DCAM) and best practices.
Hands-on knowledge of data cataloguing tools, data lineage and data quality
- Hands-on knowledge of data cataloguing tools (e.g., Collibra, Informatica, Alation etc.), data lineage and data quality
Experience of data maturity assessments and familiarity with data modelling and metadata management
- Experience of data maturity assessments and familiarity with data modelling and metadata management
Collaboration & Communication
- Strong documentation and requirement gathering skills to align technical governance with business objectives
- Skilled in stakeholder management and articulating data governance value to non-technical audiences
- Experience driving adoption of governance practices across enterprise functions
Personality Traits & Leadership
- Self-driven, with the ability to take ownership and lead governance initiatives independently
- Process-oriented thinker with a structured approach to problem-solving
- Proven ability to collaborate across business and technical teams, influence without authority, and drive enterprise-wide initiatives.
- Strong analytical and problem-solving skills.
Nice to Have:
- Certification in data governance, data management, or a related field (e.g., CDMP, DCAM)
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