[…] data literacy, fostering cross-functional teams, and investing in people as the real drivers of adoption. In an industry still grappling with fragmented implementation, his ability to align technology, teams, and business outcomes marks him out as a leader delivering durable impact. Mike Vaughan is Chief Data Officer at Brown & Brown Insurance, where […]
[…] teams, establishing strong governance, and scaling responsible AI across both business operations and the practice of law. Across every stage of her career, she has remained focused on a simple principle: technology succeeds only when paired with trust, clear operating models, and relentless execution against real-world outcomes. As a data and AI leader, which traits and skills […]
[…] journey began in advertising, where he rebuilt a data function and drove sales growth by translating insights into action. This experience shaped his core belief that while technology enables analysis, real value comes from storytelling and execution. He later held leadership roles in both technology and healthcare organizations. At a major tech company, Goutham […]
[…] enterprise data and AI agenda to drive trusted, scalable decision-making. His career as a data and AI leader has been shaped at the intersection of business complexity, technology scale, and organizational change. Early roles embedded within commercial and operational teams exposed a consistent challenge: while data was plentiful, it was rarely trusted, well governed, […]
[…] and a commitment to staying ahead of the curve. Deep began his professional journey at GE Capital, where he worked as a Six Sigma Black Belt in technology. He then moved into the start-up world, taking on business leadership responsibilities early in his career. In that role, he led a team of more than […]
[…] AI initiatives to address complex challenges across the healthcare ecosystem. With more than three decades of experience, Ashok has built his career at the intersection of data, technology, and large-scale transformation. Ashok began his career in enterprise software and analytics roles at SAP, Oracle, and GE Aviation, where he developed a strong foundation in data architecture, […]
[…] He later expanded his perspective through consulting roles at Deloitte and EY, where he worked closely with senior executives across industries to design enterprise data strategies, modernize technology ecosystems, and lead complex transformation programs. Moving into industry leadership, Anand went on to build and scale data and analytics functions for major global organizations. In […]
[…] cases and investments? What role do data foundations and governance play in successful automation? How is automation reshaping roles, skills, and organisational structures? Start with the outcome and not the technology The strongest consensus was that automation decisions should begin with a clear articulation of the desired outcome, not a drive to deploy AI. As one participant put […]
[…] Moving from insight to execution While these decisions are widely recognised, the way organisations approach them varies significantly depending on their starting point, industry constraints and existing technology landscape. In the full peer discussion, leaders share how they are: balancing standardisation with local requirements structuring data ownership and governance designing architectures that support both […]
Chris Miller is Chief Data and AI Officer at Royal London Group. He began his career after graduating in Computing Science by joining Deloitte’s Technology Assurance and Advisory practice, where he qualified as a Chartered Accountant and built broad experience working with leading UK insurance and banking organisations. In 2015, Chris joined Royal London Group […]
Marco Hoppenbrouwer is Manager Data Office at Stedin, bringing more than three decades of experience in technology, data, and business transformation within large, complex organisations. He began his career at Shell, where he spent 33 years progressing from entry-level roles to senior leadership positions. During this time, he led major strategic IT architecture programmes, delivered mergers and acquisitions, served as Chief […]
[…] built around applying data and statistical modelling to shape business outcomes. Shreenivasa began in consulting, working across a wide range of sectors including pharmaceuticals, life sciences, retail, consumer goods, technology, banking, and insurance. In these roles, he partnered closely with senior leaders to maximise the value of data, delivering measurable outcomes by building and coordinating high-performing internal and […]
Phani Ravindra Kaligotla is Director of AI and Data Strategy at Mastercard, where he focuses on driving innovation at the intersection of technology, data, and financial services. His career began with hands-on work in the development and deployment of advanced AI solutions, building a strong technical foundation in applying machine learning at scale. Early on, Phani developed a […]
[…] Chief Data Officer at National Grid, where he leads the organisation’s data strategy and capability to support decision-making, performance and long-term transformation. His career has consistently operated at boundaries between business and technology, disciplines, geographies, and operating models. Gavin began his professional journey in geoscience, working with diverse data types that required integration, analysis, and judgement to inform real-world decisions. That experience […]
[…] enterprise. David has worked extensively with data, spanning analysis, modelling, and solution design. While his career path has been varied, a consistent theme has been maximising the return on technology investment by ensuring data is applied to solve real business problems. As data has become an increasingly critical organisational asset, this value-led approach has underpinned his work, linking […]
[…] element is to inspire and align people against a clear vision through effective leadership and engagement. Underpinning this are important traits: inquisitiveness, genuinely understanding people’s challenges; business-mindedness, focusing on outcomes, not just technology; adaptability, embracing different routes to success; and building trust, ensuring the organisation is committed to the strategic roadmap. “Core skills required are more evident: expertise in AI and ML, understanding technology adoption patterns, mastery of data governance, assurance and […]
[…] embedding advanced analytics into everyday business decisions. Recent highlights include the development of a chicken propensity model to optimise marketing effectiveness, and the introduction of “cut cam” technology, which uses AI to rank pizza quality and link operational execution directly to commercial outcomes. Prior to Domino’s, Antony led customer insight at Booking.com, where he […]
[…] partnership. Since becoming UK Chief Data Officer in 2022, she has focused on strengthening collaboration between data and business teams, implementing a new operating model, modernising the technology landscape and championing intelligent automation and AI. Elements of her data strategy have since been adopted across the wider Zurich group. Alex is recognised as a […]
[…] the business. A defining phase of his career has been leading large-scale data and AI transformation programmes, where cultural change, governance, and trust proved as critical as the technology itself. Today, Abhishek champions AI literacy across Barclays, promoting the view that AI should augment rather than replace human judgement. His leadership philosophy is grounded in […]
[…] intelligent organisations of the future.” David Reed, DataIQ’s Chief Knowledge Officer and Evangelist added: “AI may dominate the headlines, but these awards remind us that people – not technology – drive progress. It’s the data leaders, engineers, and analysts who are building the governance, literacy, and culture that make AI genuinely valuable and sustainable.” […]