Information Governance Administrator

London
1 month ago
Applications closed

Related Jobs

View all jobs

Information and Records Management Advisor

Document Controller

Business Tutor

Information Governance Manager and DPO

Data Governance Manager

Business & Performance Analyst

Permanent

Hyde is looking to recruit an Information Governance Administrator.

Hyde is a leading provider of affordable homes, dedicated to helping people access safe and high-quality housing. With a strong focus on community impact, we work to create sustainable, thriving neighbourhoods while supporting our customers build better futures.

As an Information Governance Administrator at Hyde, you will be working within the Risk and Governance team to assist in maintaining high standards of data and information governance. You will investigate incidents, assess risks, and respond to data-related requests. You will also carry out audits and provide advice to ensure compliance with data governance policies.

Responsibilities:

  • Support the development and application of Hyde's Data and Information Governance Framework.

  • Carry out audits to check compliance with governance policies and suggest improvements.

  • Investigate incidents, assess risks, and respond to data requests, including Data Subject Rights and CCTV access.

  • Help deliver training and guidance to colleagues on data governance best practices.

  • Work with stakeholders to promote compliance and ensure governance policies are followed.

  • Keep up to date with industry trends and regulations to support continuous improvement.

    Skills and Experience Required:

  • Knowledge of GDPR, data governance, and managing data requests is desirable (Freedom Of Information, CCTV, data subject access requests).

  • Good Excel and Microsoft Office skills.

  • Strong customer service, communication, and stakeholder engagement skills.

  • Experience handling incident management and risk assessments.

  • Good problem-solving, attention to detail, and organisational skills.

  • Ideally a graduate, but not essential.

    Benefits:

  • A fantastic pension

  • Life assurance

  • Great holidays

  • An award-winning flexible benefits package

  • Volunteering days

    At Hyde, diversity and inclusion are at the heart of everything we do. We are dedicated to fostering a culture where inclusivity is embedded in our ways of working, not just a standalone initiative. We believe that the best ideas and solutions arise from a rich mix of perspectives, backgrounds, and experiences. Our commitment is to create a workplace that reflects the diverse communities we serve, where everyone feels valued, respected, and proud to bring their authentic selves to work.

    Hyde is a disability confident employer and we are here to support you with any reasonable adjustments that you need throughout the recruitment process.

    We reserve the right to close this advert as soon as a suitable candidate has been identified

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.