Tech Leaders Collective – Manchester Data & AI Leaders

Join our latest roundtable for the Tech Leaders Collective – Data & AI Manchester, where Paris Bielby, Director of Data at CAVU, will lead a thought-provoking discussion on Embedding Product Thinking in a Data Function at Scale.

The event will focus on the ever-pressing importance of closely intertwining product and data disciplines, ensuring the right level of technical and business context informs effective data product design, build, and iteration.

Drawing on her experience, Paris will share how she has embedded product thinking within a centralised data function of 50 professionals spanning multiple disciplines. The session will explore the practical realities of bringing product principles into a data-led environment, and how this approach drives stronger outcomes, better decision-making, and more scalable data products.

This roundtable offers a space for data and AI leaders to share experiences, challenge assumptions, and discuss what it really takes to align product and data at scale.

Event Details

Topic: Embedding Product Thinking in a Data Function at Scale
Date: Wednesday 4th March
Time: 7:30am for arrival & networking; 8:00am for discussion
Location: Dakota Hotel, 29 Ducie St, Manchester M1 2JL
Register: Complete our registration form to confirm your spot

Our Chair

Paris Bielby is a commercially minded data leader with experience across analytics, data strategy, and organisational efficiency design. She is currently Director of Data at CAVU, where she leads a multi-disciplinary data function focused on delivering scalable, high-impact data products.

Paris is passionate about nudging innovation forward, rallying teams around a shared vision of data maturity and metadata agility, and helping organisations build the foundations needed to be truly AI-ready. Her approach blends strong technical understanding with product thinking and commercial awareness, ensuring data delivers real business value.

In recent years, Paris has also achieved a Distinction-level Master of Law, strengthening her work in responsible data and AI design. This legal grounding informs the frameworks and solutions she develops, particularly where governance, ethics, and emerging AI use cases intersect.