Data governance leader focused on establishing governance across Snowflake platform at Wood Mackenzie. Lead initiatives, collaborate with technical teams, and translate governance principles into actionable practices.
Responsibilities
Define and implement the organisation’s data governance framework for the Snowflake data platform.
Establish and chair data governance working groups or forums.
Create clear roles and responsibilities for data owners, stewards and consumers.
Partner with the Data Platform Owner, Data Architecture and Engineering teams.
Design and oversee access governance (roles, privileges, masking, data-sharing).
Define and monitor data quality, lineage, and metadata management processes.
Lead initiatives to improve data accuracy, consistency and completeness.
Act as a bridge between technical and business teams.
Requirements
Proven experience designing and implementing data governance frameworks within an enterprise environment.
Hands-on experience with dbt and Snowflake (e.g., schema design, access roles, data validation and data-sharing).
Strong knowledge of data warehousing / modern data platform concepts (e.g. ELT, dbt, medallion architecture).
Understanding of metadata management, data lineage, data quality and stewardship practices.
Familiarity with cloud ecosystems (AWS).
Excellent communication and stakeholder management skills.
Ability to define governance metrics, KPIs, and reporting processes.
Experience with governance tooling (DataHub) is desirable.
Background in data engineering, data architecture or analytics is desirable.
Certification in data governance or data management (e.g. DAMA, CDMP) is advantageous.
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