Data Governance Consultant

Key Responsibilities

• Design and implement data governance frameworks, policies, standards and operating procedures.
• Establish data stewardship models, ownership structures, RACI frameworks and data quality processes.
• Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches.
• Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation.
• Contribute to AI governance processes covering model performance, risk management, monitoring and compliance.
• Implement data quality measurement, reporting and remediation processes.
• Produce governance documentation, risk assessments, evaluation plans and assurance reports.
• Facilitate workshops with technical and business stakeholders to capture requirements and define solutions.
• Work collaboratively with data architects, engineers, security specialists and wider delivery teams.
• Support the implementation and adoption of data governance tools and platforms.

Skills & Experience Required

• Proven experience delivering data governance initiatives within complex organisations.
• Strong understanding of data governance frameworks, policies, stewardship and data ownership.
• Practical experience of data quality management, metadata, data cataloguing and data lineage.
• Understanding of data privacy, information security and regulatory requirements.
• Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring.
• Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation.
• Strong analytical, problem-solving and communication skills.
• Current, active MOD DV Security Clearance is essential.

Desirable Experience

• Previous experience working within Defence, Central Government or other highly regulated environments.
• Knowledge of DAMA-DMBOK, NIST AI Risk Management Framework, ISO 27001 or UK GDPR.
• Experience with Microsoft Purview, Microsoft Fabric, Azure ML, Databricks, Collibra or Alation.
• Exposure to MLOps, AI model monitoring and automated governance processes.
• Experience working within secure or restricted technology environments.