Data & Analytics Pioneer · Generative AI · Author · Advisor
First Chief Data Officer at Samsung Mobile. First R&D Chief Data & Analytics Officer at GlaxoSmithKline. Former leader of IBM’s global Business Analytics & Optimization practice. Founder of Ramsey International — and a thought leader who has advised hundreds of companies around the world.
A Career of Firsts
Long before “Chief Data Officer” was a common title, Mark was defining what the role means — building the teams, the platforms, and the strategies that turned data into a boardroom asset at some of the world’s most recognized companies.
As the first Chief Data Officer at Samsung Telecommunications America, Mark built the data science organization and delivered the company’s first consumer repository and analytics capability — powering consumer insights and marketing for one of the world’s largest mobile brands.
The Samsung story →Recruited to report directly to the President of R&D, Mark created GSK’s first R&D data strategy and built a platform that harmonized decades of research data — collapsing analysis that once took 18 months into minutes and targeting a radical acceleration of drug discovery.
The GSK story →Over 18 years at IBM, Mark rose to lead the global Business Analytics & Optimization practice — helping enterprises across every industry put analytics to work — while earning master-inventor status with 30 patents and publishing in the IBM Journal of Research & Development.
The IBM story →Today Mark leads Ramsey International, delivering modern data ecosystems and enterprise generative AI. RI designed and delivered the largest Cloudera Data Platform cloud deployment in the world — earning Cloudera Partner of the Year 2021 — and builds the GenAI PRO, Daedalus, and Harmonix products.
The RI story →“Most organizations don’t have a data problem — they have a decision-speed problem. Data only matters if you can turn it into action before the next corner.”
— Mark Ramsey, Ph.D.
About
Over more than 35 years, Mark Ramsey, Ph.D. has designed, built, and led production data and analytics platforms at the largest enterprise scale — from a decade building data warehouse systems at Nationwide Insurance, through 18 years at IBM, to pioneering C-suite data roles at Samsung and GSK.
He has advised hundreds of organizations across dozens of industries — including five of the world’s ten largest pharmaceutical companies — helping them treat data as a strategic asset and turn it into transformational business value. Today, his focus extends that mission into enterprise generative AI.
A master inventor with 30 patents, an MBA, and a Ph.D. in Applied Computer Science, Mark is a sought-after keynote speaker on data strategy, analytics, and generative AI — a regular presence at the MIT-born CDOIQ Symposium and Chief Data & Analytics Officer events worldwide, named to the DataIQ 100, and featured by Forbes and CIO for his work transforming pharmaceutical R&D.
The Book
What Professional Racing Teaches Leaders About Decisions and Performance. Mark spent 35 years leading data and analytics at the highest level — then took his theories to the racetrack, campaigning a 600-horsepower KTM X-BOW GT2 in professional competition under the “Big Data in Action” banner.
Data at Speed distills what the cockpit teaches the boardroom: five racing principles for organizations that want to stop talking about data and start winning with it.
“A rigorously constructed framework for understanding the organizational imperatives of data-driven leadership.”— Richard Y. Wang, Ph.D., former MIT professor · Founder, CDOIQ Symposium
Thought Leadership
From the CDOIQ Symposium stage to the pages of Forbes and CIO, Mark has spent decades sharing what actually works — in data strategy, analytics organizations, and now enterprise generative AI.
A regular speaker at the CDOIQ Symposium, Chief Data & Analytics Officer Exchange, and executive events worldwide — on data strategy, organizational design for data programs, and generative AI in the enterprise.
Author of Data at Speed and articles spanning two decades — from insider-threat data mining in the IBM Journal of Research & Development to recent essays on GPT-4-era data strategy and “data discretion” in generative AI.
A master inventor whose patents span social-network analysis for churn prediction, real-time analytics and data mining, dynamic business-intelligence alerting, and data warehouse architecture.
For advisory engagements, keynote speaking, media inquiries, or a conversation about your data & AI strategy — reach out directly or through Ramsey International.