Product Owner, AI

Why London Business School

London Business School; a global and vibrant business community based in two of the world’s most dynamic cities, London and Dubai. It’s where extraordinary minds and diverse perspectives connect, to have a profound impact on the way the world does business and the way business impacts the world. We offer best in class hybrid learning to our students and participants, whilst creating a flexible, supportive and dynamic working environment for our people to excel in, whatever their location. 

The Role

Are you looking for a role with exposure to a broad range of stakeholders in which you can achieve success quickly?

London Business School is excited to be hiring for a customer focused and engaging Product Owner, AI to join Technology on a permanent basis. 

This role is responsible for leading the product development and strategic scaling of the School's Artificial Intelligence capabilities. You will oversee the School-wide AI ecosystem, inclusive of driving the adoption of generative AI, as well as predictive AI (e.g using techniques such as statistical analysis and machine learning to forecast future outcomes, behaviours, and trends).

The Product Owner will guide the ongoing development of AI at LBS across these areas - identifying high-impact applications, leading their implementation, and ensuring alignment with the School's strategic goals and Responsible AI Principles. 

This role bridges product management, technology delivery, and stakeholder engagement. It is pivotal to ensuring the sustainability and impact of generative AI at LBS.

Main Responsibilities

• Involved in ongoing delivery of broader initiatives as set out by the School's Data & AI strategy, and Technology Strategy.
• Define and maintain the product roadmap for AI at LBS ensuring it delivers meaningful outcomes to all user groups.
• Lead prioritisation of AI use cases across teaching, learning, research and operations, applying product management methodology.
• Monitor AI solution performance, adoption and stakeholder feedback, leveraging technical acumen and data analytics to drive continuous improvement.
• Work with faculty, students, staff, including the faculty led Data Science and AI Initiative, to identify opportunities to build adoption and drive cultural change.
• Embed governance, compliance, academic integrity and responsible AI considerations into AI product development, and related use cases.

Who we are looking for

• Proven experience in developing and maintaining product roadmaps, prioritising features, leading the product lifecycle, and delivering business value through technology solutions.
• Understanding of technical aspects related to AI, including risks and opportunities, with the ability to be hands-on in the development and issue resolution processes.
• Understanding and appreciation of concepts relating to data governance, data quality management, data privacy and compliance legislation, data integration, and data analytics, and their relation to AI.
• Strong ability to engage, influence and align stakeholders across functions.
• Familiarity with agile methodologies, working within cross-functional teams to deliver iterative improvements.
• Demonstrated ability to lead change initiatives, drive adoption of innovative solutions, and address resistance.

What you can expect from us

• Generous annual leave of 27 days plus extra between Christmas and New Year
• Generous pension package, 14.5% employer contribution (in return for employee enrolment and contribution)
• Free onsite gym and swimming pool
• Amazing range of professional development to support your career path
• Enhanced cycle to work scheme
• Wellbeing offering to support your physical, mental and financial health
• Up to 5 days paid emergency leave for staff who have caring responsibilities for a family member, dependent or friend who is ill.

At London Business School, we support Smart Working - a hybrid approach designed to help you achieve a healthy work-life balance while delivering the best outcomes for your role and the needs of our customers. All roles require a minimum of two days on campus each week to foster a vibrant, collaborative community.

For this role specifically, you will be expected to be on campus at least 2 days per week with the need for flexibility based on business need.

We operate with ‘core hours’ – 10:00-15:00 – to maximise opportunities for connection and collaboration across teams during the working day. Outside of these hours, you may still be required for meetings or collaboration based on your role and customer needs. Additionally, we offer Protected Time - a flexible, one-hour slot, within the working week dedicated to your learning and development, wellbeing, or focused, quiet work

Our commitment to driving inclusion and belonging

We are a globally reaching institution, committed to creating tangible and sustainable change in driving inclusion & belonging within our School, education and society at large. We are dedicated to creating an environment where everyone in our community feels they belong and thrive. This is a key school priority, and we want everyone who joins LBS to feel respected, welcomed, and heard.

Candidates needing sponsorship should assess their eligibility for a Certificate of Sponsorship by evaluating their circumstances against the relevant criteria before applying

Please note we start screening CVs and interviewing candidates from the start of a campaign. A successful candidate could progress to offer before the advertised closing date. We encourage you to apply as soon as possible if you are interested in any roles.

Closing date: 24th September 2025