[…] 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 […]
[…] vision. Rather than broad digital mandates, NHS teams are pursuing targeted interventions that reduce friction in existing clinical tasks while building evidence for scale. Adoption of voice-assisted technology frees time for clinicians, improving employee wellbeing and enabling them to focus on patient outcomes. This underscores that the future of AI in healthcare is augmentation, not […]
[…] €500,000 of additional annual value, alongside significant efficiency gains. A Cultural Shift Perhaps most importantly, Lebara has made data central to strategy. What began as a technology overhaul has become a company-wide cultural transformation, with executives and front-line staff alike adopting a data-driven mindset. As Chief Data Officer Matthew Crawley put it: “It’s […]
[…] hardwired into the Society’s structures, with a new Data Risk Committee reporting directly to the board and the Data Council reconstituted as a subcommittee for Data Risk. Technology played its part. The rollout of Informatica aligned responsibilities to system workflows, ensuring that governance was consistently applied and auditable. Engaging Stakeholders at Scale The […]
[…] all members are encouraged to share ideas and contribute to decision-making. With an all-female senior management team, the group also challenges male-dominated norms in the data and technology sector, reinforcing the value of diversity. Recognition and celebration are embedded in the culture. From the company-wide “Wall of Stars” to the team’s own “Golden Goose […]
[…] in Azure OpenAI designed to help beginners and aspiring analysts learn SQL, build reports, and explore data with confidence. For this innovative and empowering model blending AI technology with inclusive learning, Love Business has been named the winner of Best Data Academy or Skills Development Programme at the 2025 DataIQ Awards. “Prioritising the […]
[…] sustain awareness, technical oversight to track usage, learning design for workshops, and executive sponsorship to reinforce importance. This cross-functional model ensured AI was not treated as a technology project but a business capability. Looking Ahead For the FT, AI fluency is not a one-off campaign but a foundation for the future. The organisation […]
Nazia Pillay is the Managing Director of SAP Southern Africa, bringing more than two decades of experience in technology, transformation, and leadership to the role. Her focus is on unlocking value through cloud, AI, and digital transformation while fostering a people-first culture that empowers teams and drives innovation. Nazia joined SAP Southern Africa in […]