Data Manager

Birmingham
3 weeks ago
Create job alert

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)

Related Jobs

View all jobs

Data Scientist Degree Apprenticeships - Safran Seats

Information and Data Governance Lead

Data Science Manager

Data Science Manager – Gen/AI & ML Projects - Bristol

Data Analytics Manager

Data Engineering Manager

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.

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

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.