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- Tasks: Lead AI product development and enhance decision-making through innovative data solutions.
- Company: Join Multiplex, a leading construction company shaping skylines worldwide.
- Benefits: Enjoy competitive pay, flexible work, and extensive professional development opportunities.
- Other info: Diverse and inclusive workplace committed to your growth and success.
- Why this job: Be at the forefront of AI technology and make a real impact in a dynamic environment.
- Qualifications: 3+ years in Product Ownership with a focus on data and AI solutions.
The predicted salary is between 60000 - 75000 £ per year.
Who we are and what we offer:
Interested in shaping skylines across the globe? Multiplex is a premier construction company with a simple purpose: to construct a better future. As part of our team, you'll have the opportunity to help deliver some of the world's most iconic projects, supported by approachable leadership and an inclusive culture that puts our people first.
Supporting the business, Multiplex has a Global IT division with colleagues located across Australia, UAE, UK, and Canada working to an operating model based on the principles of Design, Build, Run, and Enable. It's an exciting time to join the IT team at Multiplex as we pursue our strategy to modernise the business through digital technology. Alongside our Digital Transformation team, we are working on initiatives to leverage data and technology to improve the operational efficiency of our business. The Global IT division is committed to providing certainty of service and technology solutions that just work, ensuring the business is built to outperform.
With 110+ colleagues in the Multiplex Global IT division, we have roles across the full IT lifecycle from designing IT solutions, delivering change projects, to the business-as-usual running of our IT infrastructure, all while ensuring we are safe, secure and compliant.
You will also have access to a range of holistic benefits including:
- Discretionary annual bonus
- 8% company contribution pension
- 25 days annual leave + holiday buy options
- Single private medical cover, employee assistance programme, and virtual GP service
- Competitive parental leave
- Several flexible benefits from season ticket loans, discounted gym memberships to a cycle to work scheme
- Professional career development opportunities and a wealth of learning offerings through the Multiplex Learning Academy
- An industry-leading approach to flexible work to enable better work-life balance
Who we're looking for:
Our people are united by a common belief: that we can outperform in everything we do. We are currently recruiting for a Product Owner (Data & AI) to join our Data Team; the role will be based at our London Head Office.
The Product Owner enables and scales practical AI across Multiplex by translating strategy into a prioritised, delivery-ready backlog and driving adoption of AI-enabled products and capabilities. This includes AI-enabled solutions, with a focus on GenAI, agentic AI, and automation to improve decision-making and operational efficiency, alongside robust data and analytics foundations (e.g., semantic/data models and data-entry tools). Working with the Senior Data & AI Product Manager, the role acts as the bridge between business units and technical delivery teams, ensuring AI outcomes are supported by data access, quality, lineage, governance and pipelines.
Further responsibilities will include:
- Own and continuously refine the product backlog, ensuring it remains outcome‑focused and aligned to product strategy.
- Facilitate stakeholder decision-making across regions, manage dependencies and trade-offs; ensure clear requirements, acceptance criteria and success measures.
- Lead requirements discovery using Business Analysis techniques and translate needs into epics, user stories and acceptance criteria.
- Own scope and functional design for data and AI products ensuring consistency, reusability and readiness for AI-enabled scenarios.
- Define and progress AI enablement use cases from intake to delivery by identifying business problems suited to machine learning (ML), natural language processing (NLP)/agentic NLP, or generative AI; clarifying the problem and value hypothesis; defining success measures; supporting experimentation/prototyping; and mapping priorities into a strategic roadmap.
- Partner with architecture and the supporting data workstream to define AI requirements, data readiness needs, evaluation approach and operationalisation considerations.
- Track AI performance post-launch to identify drift and initiate retraining or fine-tuning to ensure continuous improvement.
- Coordinate and track data dependencies that enable AI to work, escalating risks and sequencing delivery so data foundations are in place ahead of AI releases.
- Support responsible and compliant delivery by capturing security, privacy and Responsible AI considerations.
- Drive product quality and acceptance by shaping UAT scenarios with the business.
- Coordinate go‑live readiness and release communication; support change adoption through training materials, release notes, and stakeholder communications.
What do you need to be successful in this role?
- Experience in Product Ownership within data, analytics, AI/automation, BI, or digital delivery (3+ years)
- Proven ability to own and prioritise backlogs and deliver measurable business outcomes
- End-to-end delivery experience across data, analytics, automation, or digital products
- Strong Business Analysis skills (requirements, workshops, process mapping, user stories, acceptance criteria)
- Working knowledge of AI/GenAI and agentic AI use cases (e.g., copilots, agents, automation)
- Ability to define AI requirements, evaluation criteria, and operational needs with technical teams
- Experience with Power BI and governed reporting environments
- Understanding of data modelling for self-service analytics (e.g., star schema, metrics, lineage)
- Experience with data privacy (e.g., GDPR) and working within governance, risk, and security frameworks
- Agile delivery experience (Scrum/Kanban) working with engineering teams.
A note on diversity:
Diversity is about celebrating the ways we are all different and appreciating the unique qualities that every employee brings. We invite applications from people of all genders, cultures and walks of life. Research shows that women and people from underrepresented groups are less likely to apply for roles if they don't meet every qualification. So even if you don't match all the criteria - if you are passionate about helping to construct a better future, we'd love to hear from you.
We are committed to providing a barrier-free work environment and can support with reasonable adjustments at any stage of the recruitment process. Simply inform our Talent Acquisition team during your conversation with them.
Product Owner in London employer: Multiplex
Contact Detail:
Multiplex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Owner in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Multiplex. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by practising common questions related to Product Ownership and AI. We recommend using the STAR method to structure your answers – it helps you showcase your experience effectively!
✨Tip Number 3
Showcase your passion for AI and data during interviews. Share examples of how you've used these technologies to drive results in previous roles. It’s all about demonstrating your value!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find more resources to help you ace the process.
We think you need these skills to ace Product Owner in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in Product Ownership, especially in data and AI. We want to see how your skills align with our mission to construct a better future!
Showcase Your Achievements: Don’t just list your responsibilities; share specific examples of how you’ve delivered measurable outcomes in previous roles. We love seeing the impact you've made, so let us know about those wins!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your experience and how it relates to the role. We appreciate clarity as much as you do!
Apply Through Our Website: We encourage you to submit your application through our website for the best chance of being seen by our team. It’s the easiest way for us to connect and start the conversation about your future with Multiplex!
How to prepare for a job interview at Multiplex
✨Know Your Product Inside Out
As a Product Owner, it's crucial to have a deep understanding of AI and data products. Familiarise yourself with the latest trends in generative AI and automation. Be ready to discuss how these technologies can improve decision-making and operational efficiency at Multiplex.
✨Master the Backlog
Be prepared to talk about your experience in owning and prioritising product backlogs. Think of specific examples where you’ve successfully aligned a backlog with business strategy and delivered measurable outcomes. This will show that you can effectively manage priorities and stakeholder expectations.
✨Showcase Your Business Analysis Skills
Highlight your ability to lead requirements discovery and translate needs into user stories and acceptance criteria. Bring examples of how you've facilitated workshops or process mapping sessions to gather requirements. This will demonstrate your strong analytical skills and your capability to bridge the gap between technical teams and business units.
✨Emphasise Agile Experience
Since the role involves working with engineering teams in an Agile environment, be ready to discuss your experience with Scrum or Kanban methodologies. Share how you've contributed to end-to-end delivery of data and AI products, and how you’ve adapted to changes during the project lifecycle.