Data Governance Specialist

Admiral Group Plc
Cardiff
1 day ago
Create job alert

Admiral is on an exciting journey to mature its Data Management across the business, so we are looking for a Data Governance Specialist to help support the implementation of these Data Management activities.


You will play an important role in delivering Data Governance capabilities, working within the small but focussed Data Governance Team, supporting the Data Governance Business Partners and the Data Governance Manager.


The Data Governance team sits within the Data Enablement Services Department in Admiral. Data Enablement Services work closely together to achieve a common goal of improving Admirals data maturity. With the design phase of the Data Management strategy completed we are now in the position to begin the implementation and embedding of core data governance activities. This is an exciting time to join the team, where you will play a key role.


Main Duties

  • Support the Data Governance Business Partners in implementing the Data Management Strategy that supports and enables the achievement of overall business ambitions and outcomes.
  • Support key business stakeholders and accountable role holders in defining and evolving the Data Accountability Framework.
  • Embed a culture and methods of data management by design into processes, working practices and behaviours, bringing transparency and auditability to all data processes
  • Through effective engagement and partnering with colleagues across the business, embed a culture of safe, responsible, and ethical use of data, whilst maintaining appropriate freedom to innovate and experiment.
  • Support maintain and monitor a road map of data governance enhancements, developing maturity levels in line with business appetite.
  • Participate in a range of Governing Fora, ensuring topics of strategic and operational importance are identified and addressed.
  • Provide support to senior business stakeholders, and support colleagues across Data Enablement Services and the wider business who engage in Data Governance activities.
  • Support projects with the delivery of the Data Governance Change process and be comfortable communicating your findings to audiences of varying seniority, translating complex data stories into clear narratives when needed.
  • Support the embedding of data related policies and standards across the business.

Essential Skills and Qualifications Required

  • Excellent communication skills, with the ability to convey complex data governance concepts to diverse audiences in a clear, engaging and actionable way.
  • Strong influencing and relationship‑management skills, including the ability to build trust quickly and foster collaborative problem‑solving with business and technical stakeholders.
  • Pragmatic and practical approach, with the ability to tailor data governance principles, standards and frameworks to different contexts and audiences.
  • Strong motivational and storytelling skills, creating compelling narratives that drive understanding, engagement and adoption of data governance practices.
  • Experience supporting the implementation of data governance and data management strategies, frameworks, policies, standards, guidelines, metrics and roadmaps.
  • Broad understanding of data management and governance disciplines, including data quality, metadata management, data architecture, tools and technology.
  • Experience delivering tangible business value through data governance solutions.

Desirable

  • Creative and innovative thinking, with the ability to reframe data governance in new ways to encourage adoption.
  • Experience or awareness of change management principles and best practice.
  • Experience working with data management platforms such as Collibra and/or Informatica.

Admiral: Where You Can

We take pride in being a diverse and inclusive business. It's a place where you can Be You, and show up as you are. We’re committed to fostering a people-first culture where everyone is accepted, supported, and empowered to be brilliant. You can, Grow And Progress at a pace and direction that suits you, Make A Difference for our customers and each other, and Share in Our Future with all colleagues eligible for up to £3,600 of free shares each year after one year of service.


Everyone receives 33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays). You also have the option to buy or sell up to an additional five days of annual leave.


We’re proud of our people-first culture. In fact, we've been recognised as a Great Place to Work for Women, a Great Place to Work for Wellbeing, and an overall Great Place to Work for over 25 years! We’re fully committed to making sure your progression is not slowed or halted by barriers related to race, gender, age, sexuality or any of the protected characteristics.


Our fantastic benefits make sure our colleagues have a great work-life balance; You can view some of our other key benefits here.


Disability Confident Leader

As a Disability Confident Leader, for candidates with a disability or long-term health condition, that opt into the Disability Confident scheme, we’ll invite a fair and proportionate number of applicants that meet the essential requirements of the role to the first stage of our selection process.


If you need any adjustments or support with your application or during the recruitment process, just let us know. Please do email us or contact us on . This number is dedicated to supporting candidates that require reasonable adjustments or support during the application process.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Governance Specialist — 6‑Month Contract

Data Governance Specialist

Data Governance Specialist

Data Governance Specialist - Drive Data Maturity

Purview Data Governance Specialist

Purview Data Governance Specialist

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 Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.