Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Governance Manager

BioTalent
London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Science Manager

Data Scientist - Grid Innovation Model Development

Data Scientist

Data Science/ML Lead

Data Scientist

Data Scientist

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.