C2D3 Careers Beyond Academia - The Guardian, Director of Data

The Careers Beyond Academia Seminar Series provides PhD students and Early Career Researchers with realistic, experience-based insights into career pathways outside academia. Through invited talks from professionals working across industry and organisations, the series helps researchers understand how to successfully transition their skills and expertise into impactful roles beyond the university environment. The speakers will discuss their career journey, advice for researchers considering careers beyond academia, skills and competencies valued in industry and organisations, and career opportunities.

Biography

Ryan Moore is the Director of Data at The Guardian, where he leads the central data and enterprise AI functions. With over 20 years of international experience spanning the UK, Japan, and Malaysia, Ryan has established himself as a leading strategist in the industrialisation of AI, specialising in helping legacy organisations transform into modern, data-driven ecosystems.
At the heart of Ryan’s methodology is the Data-to-Value (D2V) framework, a strategic approach designed to deliver "value without compromising on values." By aligning data products with the core mission of one of the world’s most trusted news organisations, he has demonstrated that ethical AI - centered on trust, fairness, privacy, and accountability - is a primary driver of growth.
Recognised as one of DataIQ’s 100 most influential people in Data and AI for 2026, Ryan’s career is defined by a commitment to moving beyond experimentation toward tangible, responsible outcomes. This was evidenced during his tenure as Group Head of Analytics Platform and Engineering at Pets at Home, where he spearheaded the transition to a modern cloud-native data ecosystem. Most notably, he led the delivery of the data elements of the Pets digital transformation programme - a foundational data product that unified fragmented legacy data to provide a holistic view of the business, enabling highly
personalised customer experiences at scale.
A frequent advisor to executive boards, Ryan provides a pragmatic roadmap for navigating the technical and ethical complexities of the AI era, ensuring that innovation remains firmly anchored in organisational purpose.

Registration

Everyone is welcome to attend from the University of Cambridge - the seminar is particularly aimed at PhD students and Early Career Researchers. Registration is essential.

Registration - Deadline Monday 1st May, 9 am

Cancellation and No-shows

Please let us know as soon as possible if your plans have changed and you are no longer able to attend. We operate a waiting list for spaces. You should note our Cancellation and No-Show policy, summarised below.

• Delegates who have registered to attend but did not turn up to the event on the day, may be charged a conference fee.

• Charges may be given if less than 7 days' notice is given to the conference organisers.