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More Construction, Less Disruption! Practical Experience Innovating Products with AI. Entrepreneur, Educator, Designer, Technologist. Top Data Science Influencer 2020. Fast Company Master of Design.
ENTREPRENEUR | TECHNOLOGIST | DESIGNER Creating innovative new businesses motivates me. An architect by training, I love to build things. A big thinker by nature, I see connections and possibilities given any set of circumstances. An entrepreneur by experience, I'm all about motivating and mobilizing for tangible outcome and success in the market. Data and AI technologies are the bricks and mortar for me. Using these, I've had the great fortune to build some exciting products and businesses: - At Telefonica, built a privacy-first advertising business on data 'exhaust' of 350M telecom subscribers - In IBM Watson, built Watson Analytics and managed the natural language processing, virtual agent, and information exploration product lines. - Founder & CEO of Visual i|o, a venture-backed data and portfolio analytics software company. The innovation stage is where I excel: defining an ambitious mission and charting the path forward. I've seen innovation set up to succeed (and not) and know how to get the right ingredients in place and craft a vision for internal and external stakeholders. What may be seen as constraints or barriers-- budgets, available assets, current competencies or market position-- for me, are all part of the foundation to be built upon. In the end, real innovation is not the idea. It's real things driving real business value and that's what I love to see. Working for a European multinational, I've had the opportunity (and challenge) to think about and work extensively with issues of data privacy, the ethical use of AI and the EU's General Data Protection Regulation (GDPR.) This has shaped and enriched my approach to data and AI products as well as the way we measure their impacts. - Domain expertise: advertising, life sciences, healthcare, financial services, retail - Technical expertise: artificial intelligence, machine learning, deep lea
Harvard University
Masters, Architecture
N/A – Present
Columbia University
BA, Architecture
N/A – Present
Alcōv
Founder & CEO
August 1, 2021 – Present
Cambridge, MA & NYC, NY
Zigurat Innovation & Technology Business School
Adjunct Professor
April 1, 2018 – Present
Barcelona, Catalonia, Spain
Telefónica
Director, Data Innovation, Chief Consumer Digital Office
November 1, 2016 – March 1, 2021
Greater Barcelona Metropolitan Area
IBM Watson
Program Director, Strategy & Offering Management
July 1, 2014 – September 1, 2016
IBM Watson
Chief of Product Design, Business Analytics
May 1, 2013 – July 1, 2014
GroupVisual.io
Managing Partner
January 1, 2009 – January 1, 2013
Cambridge, MA USA
AIGA
National Board Member
January 1, 2009 – January 1, 2011
Visual i|o
President & CEO
January 1, 2001 – January 1, 2009
Schindler + Associates, Inc.
COO
June 1, 1997 – December 1, 2000
Cultural Fit Analysis
The candidate's diverse background, including founding a startup, teaching AI, and holding leadership roles in large corporations, suggests adaptability and a broad perspective. Their work on privacy-by-design and ethical AI aligns with a culture that values responsible technology development. However, the primary experience is in strategic and product management roles rather than hands-on engineering, which might require a cultural adjustment for a pure engineering team. The target role 'IoT Engineer' implies a more technical, implementation-focused role than their recent experience suggests.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and a proven ability to build and manage multi-disciplinary teams. Their experience in defining product strategy and driving innovation suggests excellent operational fit for a senior role. Involvement in policy-making bodies highlights strong communication and collaboration skills at a high level. The entrepreneurial background indicates self-motivation and a results-oriented mindset.