Information Asset Register Lead

Reading
1 week ago
Applications closed

Related Jobs

View all jobs

Fire Engineer

Quantitative Developer - Commodities- Systematic Quant Fund (Basé à London)

Quantitative Developer - Commodities- Systematic Quant Fund (Basé à London)

Digital Business Partner

Head of Building Safety & Compliance

Marketing Data Analyst 12 Month Fixed Term Contract

Salary

Offering up to £69,840 per annum depending on experience .

Division

Digital Transformation

Location

Hybrid - Clearwater Court - RG1 8DB

Description

As Information Asset Register Lead, you will need to collaborate with the Head of Data Management and the Data Governance Manager to ensure data quality, compliance, and accessibility. In addition, you will play a pivotal role in educating other team members on the utilization of the Information Asset Register and in shaping the evolution of data governance strategies and policies.

What you'll be doing as an Information Asset Register Lead

Creating and maintaining a comprehensive catalogue of all data sources within the organisation using Azure Purview.
Classify data based on its information type, sensitivity, quality and business value.
Work with IT and security teams to set up appropriate access controls and monitor data usage to ensure compliance with data privacy regulations.
Collaborate with various stakeholders, including data owners, data stewards, IT teams and business units.
Provide training and support to other users of Azure Purview in the organisation.
Enforce data governance policies by setting up automated data validation and policy enforcement in Azure Purview.Base Location: Reading - Hybrid.

Working Pattern: 36 Hours.

What you should bring to the role

We want to bring together a team of brilliant tech minds with game-changing ideas. We're looking for people who will help us reimagine the way we work and the way we get things done:

A truly digital mindset. Open to collaboration. Open to risk. Open to new ways of doing things.
Obsessed with data. Obsessed with excellence.
People who think and behave differently to the way we do. People who don't want to just be another cog in the machine.
Experience with Azure Purview, including data cataloguing, data classification, data lineage tracking and policy enforcement.
Experience with data security principles and data privacy regulations.
Familiarity with other data management tools (Power BI, SQL Server).
Experience in managing data-related projects, coordinating with different teams and driving project deliverables.What's in it for you?

Competitive salary of up to £69,840 per annum, depending on experience.
Annual Leave - 26 days holiday per year increasing to 30 with the length of service (plus bank holidays).
Generous Pension Scheme through AON.
Access to lots of benefits to help you take care of you and your family's health and well-being, and your finances - from annual health MOTs and access to physiotherapy and counselling to Cycle to Work schemes, shopping vouchers and life assurance

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.

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.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.