Data Governance Manager

InterQuest Group
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer: Data Pipelines & DataOps (Edinburgh, 6m)

Data Scientist

MLOps Engineer

Senior Machine Learning Engineer

Data Science Manager

Data Science Associate Manager

We are looking for a drivenData Governance Managerto join our clients Risk function within a dynamic and fast-paced banking environment. This role offers a unique opportunity to shape and embed a comprehensive data governance framework, ensuring consistent data management practices across the organisation.


Key Responsibilities:

  • Embed the data governance framework within the Risk function to drive data management consistency.
  • Identify data quality issues, collaborate cross-functionally, and support remediation efforts.
  • Prepare materials for regular data governance forums, monitoring and reporting on key data quality and compliance metrics.
  • Perform data lineage mapping for various business outcomes.
  • Serve as a liaison between Risk, other business functions, IT, and data users to address data needs and challenges.
  • Provide training and support on data governance tools and best practices within the Risk function.
  • Operate in line with risk management frameworks, ensuring any concerns are appropriately escalated.


Key Requirements:

  • Minimum 1 year of relevant experience in data governance within financial services.
  • Degree educated or equivalent, ideally in Computer Science, Information Management, or Data Science.
  • Strong understanding of data governance frameworks and best practices for data management and quality.
  • Excellent communication skills, able to build relationships with a variety of stakeholders.
  • Proficiency in MS Excel (formulas, pivot tables).
  • Basic knowledge of SAS and SQL is desirable, but not essential.
  • Proactive, organised, and familiar with regulatory requirements.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.