AI & Data Strategist
I am Sami Rahman, a seasoned AI and Data Transformation Leader with a passion for revolutionising business operations through innovative AI and data strategies and cutting-edge technologies. My expertise spans banking, fashion, media, and financial services, where I have successfully led multi-million-pound projects and strategic initiatives.
Throughout my career, I have been dedicated to empowering organisations by aligning data strategies with business goals, fostering a culture of excellence, and ensuring long-term success. I specialise in building and leading multi-disciplinary teams, transforming data functions, and implementing advanced AI and machine learning solutions that deliver tangible business benefits.
I hold a deep commitment to continuous learning and innovation. I am currently pursuing a PhD in Cybernetics with a focus on AI and actively contribute to the academic community through research and publications. My roles as a Non-Executive Director and Trustee further reflect my dedication to ethical AI use and creating a positive social impact.
Beyond my professional pursuits, I am passionate about educating and guiding leadership teams, ensuring they fully harness the potential of data and AI. My holistic approach to data transformation and strategy has been instrumental in driving impactful, sustainable changes within organisations, setting them up for future success. In every endeavour, my goal is to unlock the power of data to drive transformative, sustainable growth and innovation.
Executive Expertise
Enterprise AI & GenAI Strategy
Crafting vision-led roadmaps to deploy AI capabilities that drive operational efficiency and digital product innovation.
AI Governance, Ethics & Risk
Setting frameworks for responsible technology usage, mitigating compliance risk, and establishing trust boards.
Data Productisation & Monetisation
Reframing raw data assets as high-value internally consumable products or external revenue streams.
Operating Models & Culture Change
Structuring multi-disciplinary data units and fostering high-adoption tech culture across global business functions.
Modern Data Platforms & MLOps
Deploying production-ready cloud architectures, automated model training pipelines, and data observability tools.
Commercial Impact & ROI Tracking
Quantifying technical projects to revenue uplifts, structural savings, and bottom-line growth indicators.