[…] operating models in environments where levels of data maturity, regulation, and commercial pressure differ significantly. Those contrasts have informed a view of data leadership grounded less in technology and more in decision-making, trust and organisational confidence. Early roles in highly regulated environments highlighted the importance of strong governance, where risk management and brand trust are non-negotiable […]
[…] strong grounding in how large financial services organisations operate. He then moved into project and programme management, delivering a wide range of initiatives spanning organisational restructures, HR programmes, technology platform implementations and regulatory reporting. Over time, his work became increasingly focused on data. He led data-centred projects including large-scale audit remediation, where improved visibility into data quality […]
[…] cross-functional teams delivering AI-led transformation programmes across banking, retail, and telecommunications. During this period, he developed a practical ability to translate advanced models into outcomes that commercial, risk, and technology leaders could support, and to design operating models that allow AI solutions to endure beyond pilot phases. Rohit later joined Amazon Web Services as Regional Head […]
Peter Laflin is Director of Data and Analytics (Chief Data Officer) at Morrisons Supermarkets, where he leads the company’s group-wide data capability with a strong focus on commercial value and customer impact. He began his career teaching maths and computing to adults, developing an early strength in translating complex technical concepts for non-technical audiences. As […]
[…] in clarity, pace and trust, particularly in high-stakes environments where technical excellence alone is insufficient. As a data leader, Perry views his role as fundamentally about people. He believes technology is an enabler, but lasting value comes from capability building, clear accountability and operating models that make responsible data use the default. At Entain, he places strong […]
[…] performance well before AI became mainstream. This perspective proved critical during her time as European CIO and CDO at Admiral, where success depended on abstracting away from technology choices and focusing relentlessly on solving core business problems. Today, as Group Chief Data and AI Officer, Paola leads the delivery of a unified data platform […]
Osman Peermamode is Director of Data and Analytics at Vodafone, where he leads the global data, AI and cloud strategy across a highly complex, multinational organisation. He brings extensive experience across telecommunications, technology, and finance, with a track record of driving large-scale business transformation through data-driven strategies. Osman began his career as an engineer, grounding him in how systems operate in practice and how […]
[…] most, and which of those have been most influential for you in your current position? “I’d put systems thinking at the top—the practical ability to see how technology, data, people, incentives and governance fit together. You can build technically brilliant solutions that go nowhere because you missed one of these pieces. “At Informa, three […]
[…] media, data and insight across a wide range of disciplines. She began in investment research covering dot-com businesses, before moving into industry roles across consumer research, strategic planning, advertising technology and data strategy. Her career has included senior positions at organisations such as Disney, AOL, the Telegraph, Auto Trader, and ITV, often during periods of significant digital and commercial […]
Kate Sargent is Chief Data Officer at the Financial Times, where she leads the organisation’s data, analytics, and AI strategy with a focus on value creation, trust, and capability building. She studied mathematics and operational research before a chance analyst role at National Air Traffic Services introduced her to data science and analytics. From that point, Kate […]
[…] and creative autonomy of individual Maisons. This experience has deepened her belief that effective AI leadership is as much about empathy and influence as it is about technology and scale. Julie’s focus has evolved from simply interpreting what data says to ensuring data empowers people to make better decisions. She brings a leadership style […]
[…] brings more than 20 years’ experience in financial services, specialising in data strategy, governance and AI adoption. John is responsible for setting strategic direction, influencing senior executive stakeholders, and building partnerships with global technology providers to deliver innovative, scalable solutions. His remit spans both strategic leadership and execution, ensuring data and AI initiatives translate into tangible organisational impact. John builds and […]
[…] to the University’s long-term strategy. Her approach positions data leadership as a business leadership discipline rather than a technical one, focused on value creation, trust and sustained impact, with technology acting as an enabler. Helen is known for her ability to communicate the value of data to diverse stakeholders, secure executive sponsorship and drive cultural change. […]
[…] and which of those have been most influential for you in your current position? “Effective data and AI leadership isn’t a technical role in disguise. It’s a leadership role that requires technology literacy: you need to understand what modern platforms, governance tooling, and AI methods can and cannot do because your strategic options, risk posture, and the skill development […]
[…] for delivering step-change improvements in the value organisations derive from data. His work has focused on a combination of operating model transformation and technical innovation, rather than technology alone. Experience across a wide range of industries, geographies and business models has been particularly formative, enabling him to identify reusable patterns while remaining alert to situational nuance and context. […]
[…] large-scale industrial and automotive organisations. Chrissie began her career in investment banking and later launched an e-commerce business, before finding her professional focus at the intersection of technology and data at Rolls-Royce plc. There, she worked across Civil Aerospace, Defence Aerospace, Marine and Nuclear, helping extend data-driven service models beyond aerospace into new industries. […]
[…] internationally. This breadth of experience has given her a diverse perspective on how digital and data can be used to drive better decisions and outcomes across very different operating contexts. While technology and analytics have advanced dramatically over the course of her career, Caroline has remained steadfast in her belief that people and skills are the most critical enablers of […]
[…] value and recognition to the data and AI profession.” “In an era where AI is redefining every industry, the DataIQ 100 celebrates the human ingenuity behind this technology shift,” said Kayur Rughani, Managing Director at Accenture Data & AI. “These are the leaders navigating a complex new frontier, guiding their organisations, empowering their colleagues, and […]
[…] only about problems, outcomes, and pain points. The result was sixty-five use cases and, more importantly, the first real debate among executives about what matters most. Outcomes beat technology Many leaders expect generative AI to dominate the opportunity landscape, but Chris expects the opposite and that most benefits will come from automation, not AI. The Ofgem price-control process […]
[…] shape strategy, but only if their work is rooted in clear value, designed around people, and delivered rapidly. His framework shifts attention away from the mechanics of the technology and towards the conditions that actually determine success: purpose, product discipline, process maturity, people readiness, and platform resilience. Anchor AI in Value Before You Scale It Dan’s […]