Job Title Senior Data Governance Analyst
Location: London
Salary Range: Competitive (DOE)
Reporting to:
Data Governance Lead / Head of Data Management (or equivalent)
Type:
Permanent / Hybrid
Overview:
This role is responsible for strengthening and operating a robust data governance framework to protect data integrity, reduce risk, and enable confident decision-making. You’ll lead and support governance initiatives across policy, stewardship, metadata, master data management, and compliance—working closely with stakeholders across the business and technology to embed best practice data management.
Key Responsibilities:
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Data policies and standards: Partner with cross-functional stakeholders to implement and enforce data governance policies, standards, and procedures for data usage, access, and handling.
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Data stewardship: Work with data owners/stewards to support data ownership, classification, and metadata management, ensuring alignment with regulatory and internal requirements.
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Master Data Management (MDM): Drive accountability for MDM implementation and ongoing maintenance to improve data integrity, quality, and policy compliance.
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Data documentation: Maintain and improve core governance artefacts including data dictionaries, catalogues, lineage, and data flow documentation.
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Governance tooling SME: Administer and maintain metadata within data governance platforms (e.g., Microsoft Purview and MDM tooling such as Profisee or equivalent).
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Project oversight: Provide governance leadership and assurance for data projects, ensuring alignment to governance principles through guidance, controls, and review.
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Lead key initiatives: Deliver initiatives across the governance lifecycle, including data minimisation, data loss prevention, backup & recovery, data quality, classification, catalogue & lineage, MDM, and compliance.
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Training and enablement: Create and deliver data governance training, promote best practices, and recommend improvements to processes to enhance data management maturity and reduce privacy risk.
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Ad hoc support: Contribute to wider data and governance priorities as required.
What We’re Looking For:
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Significant experience (typically 7+ years) in a data-related discipline, with 3+ years in data governance or closely related roles (e.g., senior data analyst, business analyst, compliance analyst, data steward).
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Hands-on delivery experience across data governance and data management initiatives, including Master Data Management.
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Strong understanding of data governance principles and best practice (metadata, lineage, classification, data quality, controls).
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Proven ability to lead or coordinate governance initiatives and drive process improvement across stakeholders.
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Experience working with data privacy regulations and compliance expectations (e.g., GDPR and other relevant frameworks).
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Practical experience with data warehousing and business intelligence environments and reporting tools (e.g., Power BI and equivalents).
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Working knowledge of Microsoft 365 collaboration tooling (e.g., SharePoint, OneDrive, Teams).
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Strong communication, stakeholder engagement, and training capability—able to influence across varying levels of technical understanding.
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Highly organised, proactive, and comfortable working independently in a fast-moving environment.
Desirable but Not Essential:
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Experience with Microsoft Purview data governance modules and/or similar governance platforms.
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Experience with MDM platforms (e.g., Profisee) and implementing metadata/catalogue/lineage practices at scale.
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Insurance or financial services domain experience (e.g., property & casualty, reinsurance, liability, or specialty lines).
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Familiarity with additional data protection and operational resilience regulations/standards (e.g., HIPAA, CCPA, DORA) depending on business footprint.
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Awareness of emerging trends in governance, analytics, AI/ML, and data security protocols.
About the Company:
A well-established global organisation in the insurance/financial services sector, recognised for technical expertise and a collaborative, high-performance culture. The business is investing in data, governance, and operational resilience to support strategic growth, strengthen controls, and improve decision-making across the enterprise.