Enterprise Data Governance Architect

We are looking for an Enterprise Data Governance Architect to shape a scalable governance, cataloging, and security approach across a unified digital data ecosystem. You will partner with cross-functional teams to define policies, metadata, lineage, and data quality standards that enable compliant analytics at scale. Responsibilities Define an enterprise data governance framework, policies, and operating model for multi-country organizations Design metadata management, data cataloging, and data lineage architecture to improve transparency and control Establish data quality standards, KPIs, and monitoring rules to improve reliability of analytics outputs Align privacy, retention, and access control requirements with security and legal stakeholders Lead discovery workshops to assess data maturity, identify gaps, and shape target-state roadmaps Advise engineering and analytics teams on governance-by-design patterns for delivery execution Communicate governance strategy, decisions, and trade-offs clearly to business and technical stakeholders Requirements 7+ years of experience in enterprise data governance frameworks (for example DAMA-DMBOK) and operating models 3+ years of experience with metadata management, data cataloging, and automated data lineage capabilities 3+ years of experience designing data quality metrics, controls, and stewardship workflows Senior consulting and workshop facilitation skills with executive stakeholder management Change leadership experience driving alignment across multicultural, cross-functional teams Strong knowledge of privacy compliance and data protection concepts (for example GDPR, CCPA) Hands-on knowledge of cloud data platforms and architectures, including AWS Solid understanding of role-based access control (RBAC) and security-by-design principles Strong strategic thinking skills with attention to detail in policy and standards design Advanced proficiency in English (B2+/C1) Nice to have AWS certification (for example AWS Certified Solutions Architect) Hands-on experience with Databricks Unity Catalog Experience with modern lineage and cataloging tools Knowledge of AI-enabled analytics governance considerations