Find out more
Sangeeta Edwin

Sangeeta Edwin, Vice President – Data and Analytics, US Venture

Between 2004-2009, Edwin was director IT at industrial machinery manufacturer Johnson Controls where she introduced a solution to combine traditional business intelligence warehouse technologies with advanced technologies to create predictive analytics that further increased customer profitability and heightened buyer-seller relationships. This initiative received a CIO 100 award in 2015.

Susan Laine, Field Chief Technology Officer, Quest Software

Susan Laine is Field Chief Technology Officer at Quest Software, where she advises organizations on data management strategy and best practices. With over 26 years of experience in the field, Susan has built her career helping enterprises navigate the complexities of data governance, architecture and enablement. Susan began her career at Wells Fargo, where she spent seven years implementing […]

Best Cross-Border Data and AI Collaboration – Nestlé

With operations spanning 185 countries and more than 3,000 brands, Nestlé’s Marketing Data Foundation and Analytics (MDFA) initiative has unified data, technology, and talent across borders—creating one global marketing data layer that powers smarter, faster, and more consistent decision-making.

Manu Kumar, Chief Data & Analytics Officer, Richemont Group

I have built AI, data, and technology teams for companies like Microsoft, HP, BUPA, Vodafone, and Richemont. Each role has thrown unique technological, cultural, and strategic challenges. Setting up and scaling teams with elite capabilities and a profit centre mindset is what I enjoy most. Surrounded by some of the smartest people on the […]
Xingchu Liu

Xingchu Liu, Chief Commercial Analytics Officer, Pfizer

[…] of your data teams and of your business stakeholders? I am developing the data literacy of the organization by focusing on three strategic pillars: people, process, and technology. I am to recruit top analytics and AI talent and invest in internal teams through a comprehensive talent pool of data scientists, analytics engineers, machine learning […]
Sriram Anand

Sriram Anand, Phd, Global Delivery Lead, Data and AI, Accenture

What key skills or attributes do you consider have contributed to your success in your current role? I consider myself a technology architect and practitioner and I like to deep dive into problems to be an effective leader and mentor. What level of data maturity do you typically encounter across your client base […]
Selena Wark

Selena Wark, Associate Director of Digital, Data, and Technology, Mind

[…] role in identifying opportunities for continuous improvement and data innovation and work collaboratively with the Data Centre of Excellence to feed into the next iteration of the Digital, Data, and Technology Transformation Roadmap. As the programme continues to evolve, we are developing learning pathways tailored to leadership, change agents, technical teams, and the wider workforce.
Monica Kedzierski

Monica Kedzierski, Vice President, Global Data, Analytics and AI, Herbalife

[…] that often lack clear benefits. Talent acquisition and internal development are paramount, with investments made in hiring the right individuals and fostering their growth through education and technology. Additionally, we are engaging with best-in-class partners who inspire innovation and accelerate our efforts. Alignment on a common vision and strategy for data and AI is […]
10. Ido Biger

Ido Biger, Chief Information and Data Officer, Delek US

[…] business stakeholders? Under the strategic business acumen and visionary leadership of Ido Biger, the IT organization of Delek has undergone a transformation. The successful implementation of a technology enablement heatmap and benchmarking exercises has helped the team identify areas for improvement and address roadblocks in their path to success. The team has streamlined their […]
Cameron Davies

Cameron Davies, Chief Data Officer, Yum! Brands Digital and Technology

[…] the data and analytics resources you are responsible for The Yum! corporate decision sciences team is approximately 150+ team members, comprised of data scientists, data engineers, dev ops, ML ops, client managers, and data analysts. The team is globally located, with a large portion working out of the Yum India technology center in New Delhi.
Anusha Dandapani

Anusha Dandapani, Chief, Data and Analytics Services Section, United Nations International Computing Centre

[…] data management, metadata management, data analysis, data-as-a-service, data catalogue and security management. Tell us about the data and analytics resources you are responsible for As the technology shared services hub for the UN, UNICC implements the UN SG’s data strategy across the UN system. UNICC offers services including consulting and maturity assessments, implementation […]
DataIQ Awards 2021 winner - Transformation with data (Data Enablers): RAC and CACI

DataIQ Awards 2021 winner – Transformation with data (Data Enablers): RAC and CACI

[…] CACI implemented training upon handover, ensuring the RAC team was equipped to drive the transformation forward. By freeing up resources and developing a more imaginative approach to data and technology, RAC has increased its capacity to expand into exciting new areas. These include hitherto untapped revenue streams such as the service, maintenance and repair market.