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

Apply Now

Data Governance Manager

Planet Pharma
London
5 days ago
Create job alert

Key Responsibilities


  • Advise staff on data protection obligations under UK GDPR, the Data Protection Act 2018, and ISO standards.
  • Lead privacy-by-design initiatives across projects and ensure data protection is embedded from the outset.
  • Oversee compliance with data protection laws, internal policies, and certification frameworks.
  • Conduct audits, maintain records of processing activities, and ensure corrective actions are implemented.
  • Maintain and update data protection and security policies, including consent forms and data management plans.
  • Deliver training and awareness programmes to ensure staff understand their responsibilities—especially in high-risk areas like HR, IT, and clinical research.
  • Guide teams through Data Protection Impact Assessments (DPIAs) and advise on safeguards for sensitive data.
  • Support breach response efforts, including containment, reporting, and post-incident reviews.
  • Act as the primary contact for regulators (e.g., ICO) and coordinate responses to inspections and inquiries.
  • Manage data subject rights requests and ensure timely, compliant handling.
  • Represent the organisation in external partnerships, ensuring data protection requirements are clearly defined and upheld.


Essential Experience

  • Proven experience as a Data Protection Officer or equivalent privacy leadership role.
  • Deep knowledge of UK GDPR, the Data Protection Act 2018, and related data protection principles.
  • Experience leading ISO27001 and ISO9001 certification activities.
  • Familiarity with applying data protection in scientific research, healthcare, or not-for-profit settings.
  • Understanding of information security standards (e.g., ISO/IEC 27001) and their intersection with privacy obligations.
  • Comfortable engaging with regulators and managing high-risk data processing consultations.
  • Experience working cross-functionally with legal, HR, IT, and research teams.
  • Ability to establish and maintain a robust data protection compliance programme, including DPIAs, breach response, training, and vendor assessments.
  • Strong grasp of technology systems and data management practices, including cloud services, databases, and analytics.


🎓 Education & Certifications

  • Bachelor’s degree or higher in Law, Information Governance, Data Security, or a related field.
  • Certifications such as CIPP/E, CIPM, CISSP, or CISM are highly desirable.


🌟 Skills & Attributes

  • High integrity and independence; able to work autonomously with sound judgment.
  • Exceptional attention to detail and accuracy in documentation.
  • Strong communication skills; able to translate complex regulations into clear guidance.
  • Analytical and problem-solving mindset with a methodical approach to compliance.
  • Excellent organisational and project management capabilities.
  • Resilience and discretion when handling sensitive information.
  • Collaborative and influential; able to build trust across departments while maintaining an objective stance.

Related Jobs

View all jobs

Data Governance Manager

Data Governance Manager (£57,515 - £83,058)

Data Governance Manager

Data Governance Manager

Data Governance Manager

Data Governance Manager

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.