Data Manager

Birmingham
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Lead Clinical Data Science Programmer

Data Science Manager – Property Tech – London

Data Science Manager - Telematics

Data Science Manager - Platforms and Core Capabilities (Metaheuristics)

Data Science Manager

Data Manager

When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewed.

We are a registered charity and exist to stop the needless loss and devastation caused by accidents, as we strive for our vision of Life, free from serious accidental injury.

We are looking for a Data Manager to join RoSPA to support our journey to become increasingly data centric on an 18-month fixed-term contract.
This will be a pivotal role in a business as we embark on a route that will change all our current systems and processes. The responsibilities of the role will include formulating techniques to ensure the quality, adequacy, accuracy, and legitimacy of data, and overseeing the organisation, storage, development, use and reporting from data systems.

So, are you …?

  • Experienced in creating and enforcing data strategies and policies, and implementing procedures for secure and efficient handling of data?

  • Knowledgeable in data compliance and governance?

  • Proficient in evaluating the performance of data processes and systems, striving for continuous improvement?

  • Skilled in using BI tools and assisting with the production of reports?

  • Practiced in supporting internal customers in the use of our information systems and reporting tools, and explaining complex topics in a simple, straightforward way to non-technical users?

  • Adept at analysing data and explore it for insights, and creating dashboards and reports that effectively communicate insights to stakeholders?

  • An excellent communicator with a friendly and professional approach?

    Do you have …?

  • A BSc in Data Analytics, Data Science, Statistics or equivalent?

  • Proven working experience as a Data Manager, Business Data Analyst or similar role?

  • Experience of managing data in Microsoft Dynamics and cloud environments?

  • The ability to clearly convey findings, both written and orally, to non-technical stakeholders?

  • Great attention to detail and strong problem-solving skills, delivering solutions to business problems using a data-driven approach?

  • Technical expertise regarding data models, database design and segmentation techniques?

    If so, we can offer you:

  • An opportunity to gain valuable work experience with a leading name in the safety sector, enjoying an unrivalled reach and reputation.

  • The opportunity to join a supportive, friendly and committed team, and to contribute to a life-changing charitable mission.

  • A flexible hybrid working pattern, combining homeworking with office-based days.

  • A salary sacrifice pension scheme, Health Cash Plan, GP Line and 25 days’ leave (plus bank holidays and service days)

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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.