Enterprise Data Governance Manager
Listed on 2026-01-15
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IT/Tech
Data Security, Data Analyst, Data Scientist, Data Engineer
Working with employers, we provide a financial wellbeing platform as an employee benefit, helping employees to understand their money better, get out of debt faster and save for their future. We already have a reach of circa 4,000,000 employees through our relationships with over 500 of the largest employers in the UK.
By improving employee financial wellbeing, we have a very real and meaningful impact on people’s lives. We remove the stress and worry associated with financial difficulties by dramatically reducing the interest rates employees pay on their personal debt, and provide them with the tools needed to start saving sooner and be more financially secure. We are backed by some of the biggest brands, including investments from Blenheim Chalcot (the UK’s leading venture builder), Legal and General (the FTSE 100 insurer and asset manager), Experian and Goldman Sachs, and funding partnerships with JP Morgan and Blue Owl.
Launched in 2015, we have made excellent progress, and are scaling fast. We have been named BITC’s Responsible Business of Year, included in KPMG’s Global Fintech 100, listed top of the Forbes' list of socially‑responsible startups, and profiled by the Financial Times, the Times, the Wall Street Journal, the Guardian, the Telegraph, CityAM and the Institute of Directors.
Your role in our missionWe are looking for an exceptional Data Governance Manager to build and lead this critical new function at Salary Finance. Sitting in our Enterprise Data team and reporting directly to the Head of Enterprise Data, you will be responsible for designing and building our entire data governance framework across three critical pillars:
Data, AI, and Organisational Knowledge Management.
- You will design, build, and own the operational enterprise data governance framework for our Structured Data (Platforms), Unstructured Data (Documents and Knowledge Base), and AI Models.
- You will effectively challenge legacy processes and recommend improvements directly to senior leadership to drive change and ensure our governance is effective, not just theoretical.
- You will define the company's data quality strategy and own the team's data quality monitoring strategy and tooling.
- You will develop repeatable, scalable processes for issue identification, root cause analysis, and resolution, mentoring the business on data quality best practices.
- You will design the metadata layer for our document ecosystem.
- You will own the strategy and technical roadmap for the data catalog, acting as its primary champion and influencing stakeholders across the business to adopt and contribute to it as the “single source of truth.”
- You will collaborate with Data Science, Legal and Tech to establish the AI Governance Framework. You will define the standards for model registry, training data lineage, and ethical use policies, ensuring we are ready for upcoming AI regulations.
- You will launch, manage, and chair the company‑wide Data Stewardship program.
- You will own the entire stewardship program, identifying, training, and effectively influencing senior managers across the business to prioritise their team's governance responsibilities.
- You will act as the key partner for our Legal, Risk, and Compliance teams, translating their needs into technical requirements.
- You will own the operational processes for ensuring data privacy, review the team's risk frameworks, and help design our Responsible AI Governance policy to ensure we grow ethically and responsibly.
- Holistic Governance
Experience:
3‑5+ years of hands‑on experience in a dedicated data governance, data management, or data quality role. - Builder Mentality:
You have proven experience in helping to build or run a data governance program from the ground up. You are a pragmatic builder and not just a maintainer. - Deep Domain Knowledge:
You are an expert in modern data governance frameworks, data quality principles, information architecture or taxonomy design, and metadata management. - Exceptional Stakeholder
Skills:
Y…
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