Data Governance Manager

Data Security

Partner with InfoSec to define and apply the required security principles across all Microsoft Fabric data sources.
Lead the implementation of robust data security guidelines and access controls to ensure governed, auditable, and least privilege access to data.
Apply granular security controls such as access controls, sensitivity labels, encryption, masking, and role‑based access to safeguard sensitive data assets.
Review and optimise current roles and cross‑team access to maintain secure and scalable data accessibility.
Assess and manage the security implications of Agentic AI initiatives (ex. Fabric Data Agents, Copilot Agents) and machine learning use cases.
Data Protection, Privacy & Regulatory Compliance

Ensure Fabric Lakehouse compliance with GDPR, privacy‑by‑design principles, and internal privacy and retention policies throughout the data lifecycle.
Champion lawful processing, data minimisation, and transparency, ensuring compliance with regulations while enabling effective data utilisation.
Establish and maintain data retention and lifecycle governance, ensuring alignment with regulatory and legal requirements.
Partner with Data Protection and InfoSec to ensure that privacy expectations and obligations are consistently met.
Operationalise Microsoft Purview for classification, retention, sensitivity, and policy enforcement across the enterprise.
Data Quality Management

Establish enterprise‑wide data quality frameworks across granular datasets, aggregated layers, semantic models, and pipelines.
Implement data quality rules, validation checks, thresholds, anomaly detection, and automated alerting to proactively identify and resolve issues.
Monitor data volume trends and system health metrics to ensure reliable and high‑quality data for analytics, reporting, and AI workloads.
Collaborate with Data Engineering to resolve issues related to accuracy, completeness, timeliness, and consistency.
Audit & Monitoring

Implementing rigorous audit controls across data processes to ensure validity, security, and traceability of data assets.
Implement ongoing monitoring and audits of user activity and access anomalies across Fabric and integrated environments.
Produce and maintain governance documentation, supporting audit readiness and demonstrating compliance with internal and regulatory standards.
Collaboration & Enablement

Partner with Information Security, Data Protection, Data Engineering, and business stakeholders to align governance framework with organisational needs.
Enable self‑service analytics, AI, and data science by ensuring that underlying data is secure, compliant, and high‑quality.
Contribute to governance playbooks, standards, and scalable best practices.
What You Need to Succeed

10+ years of experience in data governance, data security, data protection/privacy, data quality, or enterprise data management, with at least 2 years in people management.
Bachelor’s degree in computer science, IT, or a related field.
Demonstrated leadership in data security and access governance, including multi-layer security, encryption, masking, sensitivity labels, and least‑privilege principles across distributed data platforms.
Experience designing and operationalising data quality frameworks, including rules, checks, thresholds, automated alerts, and anomaly detection across multiple data layers.
Good experience in audit, monitoring, traceability, and regulatory compliance processes, with the ability to design and maintain scalable governance controls.
Hands‑on experience with Microsoft Fabric or similar modern data platforms such as Databricks or Snowflake.
Proficiency with Microsoft Purview for lineage, classification, sensitivity, retention management, and policy enforcement or similar tools or frameworks.
Experience with cloud platforms such as Azure, AWS, GCP, particularly in areas related to security models, identity, storage governance, and data access patterns.
Proven ability to influence and collaborate with senior stakeholders across security, legal, engineering, and business functions.
A strategic mindset with strong analytical and problem‑solving skills, capable of translating regulatory and organisational requirements into scalable processes.
Excellent communication and documentation skills, able to articulate governance standards, expectations, and decision‑making clearly and effectively.