Data Governance Manager

Location: Hybrid from the London office, with office attendance three times a week and the remainder working from home; Haddenham may also be used as a base with periodic travel to London. Applicants must already have the legal right to work in the UK without time restrictions and without future sponsorship.

Company

hirify.global provides independent financial information, ratings and market intelligence, including a large financial product database and product ratings across insurance, banking, investments and pensions.

What you will do

• Implement and continuously improve the data governance framework, policies and standards.
• Drive data quality, stewardship, metadata management, data ownership, cataloguing, glossary and lineage practices.
• Own the acquisition, assessment and management of third-party data sources, including supplier relationships, contracts, renewals and performance reviews.
• Oversee supplier due diligence, data assurance, risk management, governance reporting and audit support.
• Shape AI governance and guidance for the responsible use of data and AI, while monitoring regulatory and technology developments.
• Partner with Product, Research, Sales, Technology, Legal and Compliance to embed governance and accountability through influence rather than direct management.

Requirements

• Experience designing, implementing or embedding a data governance framework within a complex organisation.
• Strong knowledge of data quality, stewardship, metadata, lineage and master data management.
• Good understanding of the UK regulatory landscape for data, including GDPR and data risk management.
• Experience managing third-party suppliers, contracts, commercial relationships and vendor risk.
• Experience evaluating and sourcing data, including build, buy or partner decisions.
• Knowledge of data governance considerations relating to AI and emerging technologies.
• Strong stakeholder management, communication, change leadership and influencing skills, including the ability to drive adoption without direct authority.
• Ability to balance governance, risk and commercial priorities through a practical, solutions-focused approach.

Nice to have

• Professional accreditation such as CDMP, DCAM or DAMA-DMBOK.
• Experience in financial services, fintech, insurance or another regulated industry.
• Knowledge of data licensing, web scraping, copyright and publicly available data.
• Experience with AI governance, model risk management or responsible AI initiatives.
• Familiarity with Collibra, Alation, Atlan, Great Expectations or Soda.
• Experience with modern cloud-based data platforms, governance forums, data councils, enterprise data transformation or modernisation programmes.

Culture & Benefits

• Permanent full-time employment in the Data department.
• Hybrid working with three office days per week and the remaining days from home.
• Work involves strategic and hands-on framework building across technical, commercial and regulatory teams.
• Inclusive workplace committed to equal opportunities and non-discrimination.