Data Governance Manager

BioTalent
London
10 months 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

Senior Manager, Data Science - eBay Live

Job Title:Data Governance Manager

Location:London- Hybrid 3 days a week

Job Type:Contract


BioTalent is delighted to be partnered with a medical research charity based in London. We are on the hunt for a Data Governance Manager to join the team on a contract basis.


What You’ll Do:

  • Develop & Implement robust data governance frameworks, policies, and standards to ensure compliance, integrity, and security.
  • Advise Senior Leadership on data governance strategies and regulatory requirements (e.g., GDPR, ISO27001).
  • Lead Data Strategy Initiatives to align with business objectives, drive operational efficiency, and improve decision-making.
  • Collaborate with Stakeholders across technology, legal, risk management, data science, and business units.
  • Ensure Data Quality & Compliance by setting up governance KPIs, classification, retention, and master data management processes.
  • Leverage Technology & Tools like Power Automate and Work to cleanse and enhance data.


What We’re Looking For:

  • Proven expertise in Data Governance & Data Strategy Development, ideally in a complex organisation.
  • Strong knowledge of UK & EU data regulations (including GDPR).
  • Experience with data governance tools (e.g., Collibra, Informatica, Alation).
  • Excellent stakeholder management & communication skills – ability to influence without authority.
  • A problem-solver & innovator, driving data governance excellence across an organisation.
  • Relevant qualifications in Computer Science, Information Systems, or Data Management (DAMA CDMP, CIPP certification preferred).


Qualifications:

  • Degree in Computer Science, Information Systems, Data Management or a related field.
  • Certifications in data governance or data management (e.g. DAMA Certified Data.
  • Management Professional (CDMP), Certified Information Privacy Professional (CIPP)).
  • Experience in data governance within the medical research, healthcare, or public sector is an advantage.


If you are keen to find out more about this Data Governance Managerrole, please reach out.


BioTalent Ltd is acting as an employment agency for this opportunity

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.