I am a VP Analyst within Gartner's Cloud-Based AI & Infrastructure Services practice. Drawing on 29 years of executive leadership in IT services and telecommunications, I serve as a trusted advisor to C-level executives.
I help Tech General Managers evolve their operating models to navigate and thrive in the intelligence supercycle. By translating complex AI capabilities into measurable business value, I guide clients to accelerate revenue and market multiples with scalable AI strategies that deliver transformative outcomes.
Furthermore, I empower leaders to secure AI leadership with the right ecosystem, building strategic partnerships to absorb technical complexity and achieve justifiable ROI. Ultimately, I provide the forward-looking insights General Managers need to modernize business models and capture durable growth.
Prior to Gartner, I built nearly 30 years of senior executive leadership experience at Fujitsu and Vodafone, and founded a boutique strategic advisory firm. I steered global hybrid IT portfolio strategies and led major European telco cloud and NFV transformations. Across these roles, I consistently translated complex technology into strong economic, operational, and M&A value-creation outcomes.
IT Operations and Cloud Management
Cloud and Hybrid IT Strategy
Analytics and Artificial Intelligence
Redefine Your Business Strategy
Implement Compliance, Data Privacy and Sovereignty for Cloud Platforms Supporting AI
Leadership in Digital Economy, Nova School of Business and Economics
Advanced Program in Entrepreneurship and Innovation Management (PAEGI), Universidade Católica Portuguesa
PCF - Accounting and Finance for Non-Financial Managers, Universidade Católica Portuguesa
Master's in Computer Science and Computer Networks, Universidade de Coimbra
Accelerating revenue and market multiples by pivoting IT services portfolios from custom integration labor to scalable, high-margin AI capabilities.
Navigating the intelligence supercycle by evolving labor-heavy delivery engines into outcome-based AI services that protect margins and deal velocity.
Securing AI leadership with the right ecosystem by building strategic partnerships that absorb technical complexity and deliver acceptable enterprise ROI.
Driving scalable enterprise AI adoption by transitioning away from fragile effort-based pricing toward execution-based commercial models.
Thriving in the intelligence supercycle by defending IT services differentiation against direct hyperscaler competition and moving AI to profitable production.