AI Product Owner

AI Product Owner

Location: Full flexibility to work from home with regular national travel

We are looking for an experienced and talented AI Product Owner to assist the Technology & Transformation function. You will own the lifecycle and value delivery of artificial intelligence products and services, from discovery and prioritisation through development, deployment, adoption, continuous improvement and retirement. You will translate business opportunities into clear product outcomes, roadmaps and prioritised backlogs. Lead cross-functional delivery while ensuring that AI solutions are useful, secure, ethical, compliant, supportable and aligned to organisational strategy. You will be part of our Central Management Team who are located at our Coventry office.

This position is office/home based, with flexibility for regular remote working.

About Morgan Sindall Construction
Morgan Sindall Construction is one of the UK's leading construction companies, delivering high-quality projects across education, healthcare, commercial, industrial, leisure and public sector markets. As part of the Morgan Sindall Group, we combine national expertise with strong local relationships to create places that enhance communities and leave a lasting positive impact. We are committed to delivering excellence for our customers while providing a safe, inclusive and rewarding environment where our people can thrive and develop their careers.

About the role

You will be working within our National Construction business, where you will manage:

Product strategy and lifecycle

• Define and communicate product vision, intended outcomes, target users, value measures and strategic roadmap.
• Own the product through discovery, development, launch, operation, improvement and retirement, balancing value, feasibility, risk and total cost of ownership.
• Identify where new AI products or changes to existing products can create value, improve services or address operational challenges.
• Prioritise investment and delivery across the product or product family, making transparent decisions based on evidence and agreed objectives.

Discovery, requirements and backlog

• Lead discovery with users and stakeholders to define the problem before selecting a technology or model.
• Translate business needs into outcomes, epics, user stories, non-functional requirements and clear acceptance criteria.
• Own and order the backlog; lead refinement, planning and review activities; maintain sufficient detail for effective delivery without constraining technical design.
• Define minimum viable products, experiments and release increments that enable rapid learning and controlled scaling.

AI, data and technical readiness

• Work with data, architecture, security, engineering and subject-matter specialists to assess solution options, constraints and dependencies.
• Works with the Data Governance Lead and data owners to ensure data availability, quality, provenance, permissions and lifecycle requirements are understood and addressed.
• Understand the practical implications of model choice, prompts, retrieval, integrations, APIs, automation and human oversight sufficiently to make informed product decisions.
• Ensure solutions have clear operational ownership, support arrangements, documentation, version control and change management.

Responsible AI and governance

• Embed privacy, security, fairness, transparency, accessibility, safety and accountability throughout discovery, design, delivery and operation.
• Coordinate proportionate risk, legal, ethical, data protection, security and architecture reviews, ensuring decisions and controls are documented.
• Define appropriate human oversight, escalation, auditability and user guidance, particularly where outputs could materially affect people, customers or business decisions.
• Monitor emerging risks, regulatory obligations and organisational standards, adapting the product and its controls where required.

Delivery and stakeholder leadership

• Lead multidisciplinary teams and suppliers towards agreed outcomes, creating clarity on priorities, decisions, roles and dependencies.
• Build trusted relationships with senior stakeholders, users and governance bodies; explain AI opportunities, limitations and trade-offs in clear business language.
• Manage delivery risks, issues, assumptions, dependencies, budgets and changes within the relevant governance framework.
• Promote collaboration, constructive challenge, learning and continuous improvement across product and delivery communities

Adoption, performance and value

• Define measurable success criteria covering user outcomes, adoption, service performance, quality, cost, benefits and risk.
• Use qualitative and quantitative evidence to assess performance, including user feedback and relevant model measures such as accuracy, reliability, drift or unsupported outputs.
• Plan communications, training, onboarding and business change needed for adoption and responsible use.
• Recommend continuation, scaling, redesign or retirement based on evidence, realised value and ongoing risk.

Qualifications, training and technical knowledge

Essential:

• Substantial experience in product ownership, product management, business analysis or technology-enabled change, including responsibility for prioritisation and outcomes.
• Demonstrable experience delivering AI, machine learning, advanced analytics, automation or data-led products into operational use.
• Practical understanding of AI/ML concepts, generative AI, large language models, prompt and retrieval approaches, data pipelines, APIs, integrations, model limitations and lifecycle risks.
• Strong knowledge of agile and iterative delivery methods, product discovery, backlog management, user-centred design and benefits realisation.
• Ability to work effectively with technical specialists while communicating complex concepts, uncertainty and trade-offs to non-technical and senior audiences.
• Knowledge of privacy, security, accessibility, data governance and responsible AI considerations relevant to digital product delivery.

Desirable:

• Product ownership, product management or agile certification, for example PSPO, CSPO or equivalent experience.
• Relevant degree or equivalent professional experience in technology, business, data, engineering or a related discipline.
• Experience with Microsoft Copilot, Copilot Studio, Azure AI, Azure OpenAI or comparable enterprise AI platforms.
• Knowledge of the construction or built-environment sector and the operational context in which AI products will be adopted

Our culture is so important to us and defines the way we go about our business. We are inclusive, supportive and team focused and take pride in the longstanding and committed relationships we have with our supply chain partners.

Our culture places a huge amount of trust in our team - we all know what is expected of us and we are committed to delivering as individuals and as a team.

Equality Statement

Morgan Sindall Construction seeks to recruit the best person for each of our roles, based on merit alone and free from bias. We're committed to treating all our job applicants fairly and with respect, irrespective of their background, disability, or any other protected characteristic.

We recruit individuals who embody our core values of professionalism, expertise and trust which has given us a fantastic variety of people and cultures across our organisation.

Morgan Sindall Construction are committed to collaborating with skilled and dedicated people, we recognise that valuable experience is gained outside of the industry. We are welcoming and fully supportive of Veteran and Service Leaver applicants for all roles within the business.

We celebrate our diverse teams who make Morgan Sindall Construction the inclusive, collaborative and rewarding place it is to work. We hire the best in the industry, provide them the support to achieve their goals and challenge them to make a real impact on our business. If you want to join an organisation that truly sees and harnesses what makes you unique, apply to us today.

Diversity and Inclusion Statement

At Morgan Sindall Construction, we are committed to creating a workplace where everyone feels respected, valued and able to be themselves. We believe that diverse perspectives, backgrounds and experiences make us stronger and help us better serve the communities in which we work.

We welcome applications from all suitably qualified candidates and encourage people from a wide range of backgrounds, including those with transferable skills and experiences, to apply. Our aim is to create an inclusive environment where everyone feels they belong, can thrive and has the opportunity to reach their full potential.

If you require any adjustments during the recruitment process, we'll be happy to support you.

Morgan Sindall is unable to employ anyone who does not have the legal right to live and work in the UK. In the recruitment process all applicants are required to provide the necessary right to work information and documentation. Our recruitment process should be accessible to all. If you need any assistance during the recruitment process, please email. kalpesh.meghani@morgansindall.com