Data Governance Lead

Posted 18 hours 20 minutes ago by Arcus Search

Permanent
Full Time
Other
London, United Kingdom
Job Description
Data Governance & Management Lead

Data classification, protection, retention (GDPR, CCPA, UK Data Protection Act etc), secure data sharing, reporting & analytics etc.

Key Responsibilities Data Classification & Protection:
  • Oversee and challenge the identification, classification, and management of sensitive and critical data across the business, ensure appropriate controls are in place and consistently applied.
Data Retention & Compliance:
  • Assess and monitor data retention and deletion practices to ensure compliance with global regulations such as GDPR, CCPA, and the UK Data Protection Act.
Secure Data Sharing:
  • Review and evaluate practices for secure data exchange internally and with third parties, ensure data transfer controls meet industry best practices and adhere to legal and regulatory standards.
Reporting & Analytics Governance:
  • Oversee governance of reporting and analytics processes to preserve data integrity, privacy, and accuracy, partnering with business and technology teams.
Policy Review & Development:
  • Develop, review, and enhance data governance, classification, and privacy policies, advise on industry best practices and emerging regulatory requirements.
Risk & Control Assessment:
  • Conduct risk assessments and deep dives on data-related processes, provide independent challenge and recommendations to 1st line functions.
Training & Awareness:
  • Contribute to staff training and awareness initiatives on data privacy, classification, and safe handling.
Requirements
  • Advanced degree in Information Management, Data Science, Law, Risk Management, or related field (or equivalent experience).
  • 7-10 years' experience in data governance, data protection, or information risk, preferably within the fintech or financial services sectors.
  • Working knowledge of data governance/protection regulations (e.g., GDPR, CCPA, UK Data Protection Act, BCBS 239) and industry frameworks
  • Experience with data classification, lifecycle management, and secure data sharing best practices.
  • Excellent analytical, problem-solving, and communication skills.
  • Recognized professional certifications (e.g., CISSP, CISM, CIPP/E, CDMP, CIPT, ISO 27001, or similar) are highly valued.