National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Product Owner

Camlin Group
Lisburn
4 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Staff Machine Learning Engineer (London)

PLM Data Architect

Data Scientist

Junior/Mid/Senior Data Scientist - Hybrid, London

Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.

At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of today, the Camlin operation spans over 20 countries across the globe.

As a Data Product Owner, the successful candidate will become a key member of a dynamic and diverse team developing innovative solutions for the energy industry. Our intelligent solutions and smart devices enable Network Operators across the energy industry to optimise their infrastructures by providing insights in various domains such as asset monitoring, asset optimization and predictive maintenance.

What you'll do:

  • Implement the vision for data-driven products and collaborate closely with business and stakeholders to understand business requirements and priorities to define the roadmap.
  • Work closely with Software Engineers, Data Engineers, and Data Scientists to define the product requirements and design the technical solution. Requirements span from the definition of data models and data flows to the definition of AI/ML-based features.
  • Work closely with the product development team and drive planning and prioritization. Foster collaboration across the organization, and throughout the product lifecycle.
  • Support and design innovative data products leveraging our data, algorithms, and data science techniques to engineer high-impact solutions that will shape the smart grids of the future.
  • Define key operational metrics and establish an efficient process to track progress and report regularly on these metrics to evaluate the product performance.

What you’ll need:

  • Bachelor’s degree in computer science, Information Technology, or a related field.
  • 3 years + Proven experience as a Product Owner or similar role in data infrastructure.
  • Strong technical background with knowledge of databases, data warehouses, ETL processes, and cloud platforms with a Particular focus on Non-Functional Requirements, ISMS and Secure Design.
  • Excellent analytical and problem-solving skills.
  • Strong communication and stakeholder management abilities.
  • 3 years + Experience with Agile development practices.
  • Knowledge of data governance principles and compliance regulations.
  • Ability to work in a fast-paced, dynamic environment.
  • Proficiency in English - You read and write proficiently and speak at a conversational level in English.

Our Values

  • We work together
  • We believe in people
  • We won’t accept the ‘way it’s always been done’
  • We listen to learn
  • We’re trying to do the right thing

EQUAL EMPLOYMENT OPPORTUNITY STATEMENT

Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, gender identity, or sexual orientation.

#J-18808-Ljbffr

National AI Awards 2025

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 to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.