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For Companies At a Glance
- Tasks: Lead AI product development and drive adoption of innovative solutions.
- Company: Join a forward-thinking company focused on data and AI transformation.
- Benefits: Enjoy competitive pay, flexible work options, and extensive career development.
- Other info: Embrace a culture of learning and growth with excellent work-life balance.
- Why this job: Make a real impact by shaping the future of AI in a dynamic environment.
- Qualifications: 3+ years in Product Ownership with strong AI and analytics knowledge.
The predicted salary is between 60000 - 75000 ÂŁ per year.
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.
Responsibilities
- 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, natural language processing, 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.
Qualifications
- 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.
Benefits
- 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.
Product Owner (Data & AI) in City of Westminster employer: Multiplex
Contact Detail:
Multiplex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Owner (Data & AI) in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions related to Product Ownership and AI. Think about how your experience aligns with the role and be ready to share specific examples of your past successes. We want you to shine!
✨Tip Number 3
Showcase your passion for AI and data! During interviews, discuss your thoughts on current trends and innovations in the field. This will demonstrate your enthusiasm and commitment to staying ahead in the game.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Product Owner (Data & AI) in City of Westminster
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 needs, so don’t be shy about showcasing relevant projects!
Showcase Your Achievements: When detailing your experience, focus on measurable outcomes you've achieved in previous roles. Use numbers and specific examples to illustrate how you’ve driven product success and improved operational efficiency.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your writing is easy to read and free of jargon. Highlight your key skills and experiences without fluff!
Apply Through Our Website: We encourage you to submit your application through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at Multiplex
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, especially GenAI and agentic AI. Be ready to discuss specific use cases and how they can improve decision-making and operational efficiency. This will show that you understand the role's focus and can contribute meaningfully.
✨Master the Backlog
Familiarise yourself with product backlog management. Be prepared to explain how you would prioritise tasks and ensure alignment with product strategy. Think of examples from your past experience where you successfully refined a backlog to deliver measurable outcomes.
✨Stakeholder Engagement is Key
Since this role involves facilitating stakeholder decision-making, think about how you’ve managed dependencies and trade-offs in previous projects. Prepare to share specific instances where you’ve effectively communicated requirements and success measures to diverse teams.
✨Showcase Your Agile Experience
Highlight your experience with Agile methodologies like Scrum or Kanban. Be ready to discuss how you've worked with engineering teams to deliver data and AI products. Sharing concrete examples of your end-to-end delivery experience will demonstrate your capability in this area.