covering areas such as data quality, metadata, lineage, stewardship, policy and standards. The role will also involve supporting the responsible governance and assurance of AI solutions, although the core requirement is strong data governance experience. This is a client-facing consulting role, working across multidisciplinary data, architecture, engineering and security … Running stakeholder workshops to understand requirements and translate them into practical governance solutions. Producing governance documentation, operating procedures, risk assessments and assurance reports. Supporting AI governance and assurance, including data provenance, bias, privacy, model evaluation and ongoing monitoring. Working alongside data architects, engineers, security specialists and other consultants. Supporting ...