Day 2 - Wednesday 20th January 2027
Day 2 Sessions
7:00 am - 7:30 am
DPPS Run & Walk Club!
8:00 am - 8:45 am
Registration and Pastries
8:45 am - 9:00 am
Chair Remarks
9:00 am - 9:30 am
Opening Panel Discussion: AI, Automation and the Reality Gap
Mike Shebalkov -
Product Director,
Wise
CK Ong - Director, Data Product, GSK
Robert Johnson - Head of Data, Reconomy
9:30 am - 10:00 am
Presentation: Trust as a Product: Scaling Provenance for External Data Products in the Age of AI
Mark O'Brien -
Director of Product,
Shutterstock
As AI accelerates the volume and sophistication of generated and modified content and regulation increases expectations around transparency, external data products need to offer customers more than access to content. They need to provide confidence in where that content came from, how it has changed, and which provenance claims are trustworthy.
Drawing on Shutterstock's experience packaging hundreds of millions of image, video and audio assets alongside the metadata that makes them discoverable and usable, this session explores how metadata, provenance and transparency are becoming core product capabilities and what it takes to deliver them at scale.
• Turning content and metadata into trusted external data products that customers can confidently consume
• Scaling metadata and provenance across hundreds of millions of assets without compromising usability
• Moving beyond simple "AI-generated" and "AI-edited" labels as the boundaries between creation and modification become increasingly blurred
• Embedding provenance and traceability throughout the product lifecycle while responding to evolving transparency and regulatory requirements
10:00 am - 10:30 am
Session reserved
10:30 am - 11:00 am
Morning Coffee Break
Track A: Data Product Leadership & Value
11:30 am - 12:00 pm Presentation: Lessons from the Field: Successfully Embedding a Data Product Manager at ITV Stephen Blaylock - Data Product Manager, ITVIntroducing a Data Product Manager between central platforms and domain insight teams can create immediate friction around access, authority and ways of working.
Drawing on firsthand experience at ITV, this session explores how to clarify the role, overcome functional resistance and move from being a reactive data service towards a scalable product model.
- Defining clear ownership boundaries across product, platform, architecture and insight teams
- Maintaining strong connections between analysts and business decision-makers
- Balancing architectural standards with product autonomy and speed
- Preventing governance and platform processes from slowing delivery
- Using positive friction to build alignment and embed product thinking
Track A: Data Product Leadership & Value
12:00 pm - 12:30 pm Panel Discussion: Show Me the Money: Proving ROI and Protecting Product Investment Mike Shebalkov - Product Director, WiseChris Mackenzie Ross - Data Product Manager & Delivery Lead, LSEG
When budgets tighten, leaders must show which products are creating value and where investment should continue. This session explores practical approaches to value attribution, prioritisation and executive communication.
• Linking products to financial and non-financial outcomes
• Handling shared value across multiple consumers and use cases
• Using evidence to defend, redirect or stop investment
Track B: Data Platforms & Engineering
11:30 am - 12:00 pm Presentation: From Data Catalogue to Data Marketplace: Building Governance at the Pace of Delivery Divya Dhawan - Data Governance & Management - Sky Data, SkyAs Sky evolves from domain-based data cataloguing towards an enterprise marketplace model, Divya is helping design the framework that will make products easier to discover, govern and reuse across the organisation. The challenge is to keep governance close to product delivery, ensuring new data and AI capabilities are catalogued, controlled and trusted from the outset rather than addressed retrospectively.
• Moving from fragmented domain catalogues to a connected marketplace experience
• Embedding data and AI governance into product-delivery cycles
• Keeping ownership, metadata and controls current as products evolve
• Balancing consistent marketplace standards with different domain needs
• Designing a framework that can scale with the pace of data and AI delivery
Track B: Data Platforms & Engineering
12:00 pm - 12:30 pm Panel Discussion: Reliability by Design: Quality, Observability and Trust in ProductionConsumers judge a data product by whether it is dependable when needed. This panel explores how teams define reliability, monitor product health and respond when quality or service expectations are breached.
• Defining product-level quality and service expectations
• Combining lineage, observability and consumer feedback to detect issues
• Creating clear accountability for incident response and remediation
12:30 pm - 1:30 pm
Lunch
2:00 pm - 2:30 pm
Presentation: Building the Data Product House: From New Function to Measurable Value at Lloyds Banking Group
Clare Hilary Humblestone -
Head of Data Product - Mortgages,
Lloyds Banking Group
Creating a data-product function inside a large, regulated organisation requires more than defining products and assigning owners. Drawing on the first 18 months of building the mortgage data-product function at Lloyds Banking Group, Clare will share how the team is establishing a broader data and intelligence service model, bringing the business on the journey and connecting its roadmap through to 2030 with measurable value.
• Moving beyond a narrow definition of data products to include reusable services, analytical products and operational capabilities
• Building organisational traction through education, product thinking and value-led communication
• Clarifying how data-product owners add value across business, data and technical teams
• Using AI to accelerate requirements, lineage, migration and product development
• Connecting individual deliverables and product investment with measurable business outcomes
2:30 pm - 3:00 pm
Presentation: Rethinking Enterprise Data Modernisation Through Product Thinking
Diana Galarraga Ortiz -
Data Product Manager – EMEA,
Chubb
Moving from legacy infrastructure to modern cloud technology does not automatically change how a business consumes or creates value from data. To deliver meaningful outcomes, organisations must modernise around their users, decisions and business needs, rather than treating transformation as a purely technical migration.
This session explores how product thinking can help organisations connect modern architecture with evolving consumption patterns and build capabilities that deliver value beyond the initial transformation.
• The evolution from manual and legacy ways of working towards scalable, modern data products.
• Designing modernisation around consumers, use cases and business outcomes
• Connecting cloud investment with how people discover, access and use data
• Evolving delivery models as business expectations and technology change
• Avoiding a technology-led migration that recreates legacy ways of working in the cloud
3:00 pm - 3:30 pm
Afternoon Coffee Break
3:30 pm - 4:00 pm
Closing Panel Discussion: Trust at Scale: Governing Products Without Creating Friction
Saif Arshad -
Director, Commercial Finance Data Governance,
S&P Global
As portfolios expand and consumption becomes more distributed, trust must be maintained without overwhelming teams with approvals. This panel examines how organisations scale ownership, certification, transparency and control.
• Creating common trust signals that consumers can understand
• Using tiered governance based on sensitivity, criticality and use
• Balancing oversight with autonomy and delivery speed
4:00 pm - 4:30 pm
Closing Afternoon Roundtable Discussion & Networking Debrief
Enjoy a relaxed afternoon tea as you connect with fellow delegates and speakers to reflect on the past two day’s discussions. This 45 minute closing session offers a final chance on site to exchange perspectives, revisit key insights, and continue conversations sparked throughout the Summit.
