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Artificial Intelligence | Machine Learning | Generative AI | Solution Development | Ex-Accenture
High energy, decisive & tenacious technology executive with a focus on designing & building profitable advanced analytic solutions. Experienced in innovating, creating & leading product strategy, development, delivery & marketing to service both commercial & government clients globally. Strong track record of innovating, developing & deploying cloud-based and on-prem business-user solutions which apply an array of artificial intelligence technologies, including generative AI, predictive analytics, machine learning, deep learning, natural language processing, computer vision & social network analytics. Proven leadership & management through building trust & credibility, both internally and externally. Expertise in navigating international market needs to deliver profitable, operationally-sustainable solutions. Professional history of exceeding business growth objectives. Extensive client portfolio and C-suite experience. Excellent communication & presentation skills. Experienced collaborating with and building global teams.
Georgetown University McDonough School of Business
MBA, International Business
January 1, 2003 – January 1, 2005
Pace University
BBA, Business Administration, Management and Operations
January 1, 1993 – January 1, 1996
Amazon Web Services (AWS)
Global Specialist - Generative AI
January 1, 2025 – Present
Deepwatch
Global Head of Artificial Intelligence
December 1, 2023 – January 1, 2025
Washington DC-Baltimore Area
Amazon Web Services (AWS)
Global Head of Strategy, GenAI Innovation Center & ML Solutions Lab
September 1, 2022 – December 1, 2023
Georgetown University
Adjunct Faculty - Artificial Intelligence & Machine Learning for Business
August 1, 2022 – Present
Washington, District of Columbia, United States
Amazon Web Services (AWS)
Global Leader - Machine Learning & Emerging Data Science
January 1, 2020 – September 1, 2022
Amazon Web Services (AWS)
Machine Learning Business Development
September 1, 2017 – January 1, 2020
Synchronoss Technologies
Managing Director – Artificial Intelligence & Monetization Solutions
October 1, 2012 – September 1, 2017
Washington D.C. Metro Area · On-site
Accenture
Global AI Lead for Fraud Detection & Prevention
February 1, 2010 – September 1, 2012
Washington DC-Baltimore Area · On-site
Agilex Technologies (acquired Customer Chemistry, July 2008)
Division President - Artificial Intelligence
August 1, 2005 – February 1, 2010
Washington DC-Baltimore Area · On-site
SRA International, Inc..
Sr. Systems Engineer for AI Solutions
January 1, 2005 – August 1, 2005
Washington DC-Baltimore Area
DHSoft
VP of AI Programs
March 1, 2000 – January 1, 2005
Washington DC-Baltimore Area · On-site
MEI Software Systems, Inc,
Sales Engineer & Senior Analyst
September 1, 1998 – March 1, 2000
Washington DC-Baltimore Area
Eagle Publishing
Data Analytics Lead
April 1, 1996 – August 1, 1998
NYC and Washington D.C. Metro Area
PIPELINE: First Predictive and Real Time Insights via Smartphone
February 1, 2014 – Present
Interview with Razorsight leadership on new analytics apps that give communications and media companies' power to manage the customer experience "in the moment" via smartphone -- boosting loyalty, reversing churn and increasing revenue.
Cultural Fit Analysis
The candidate's career trajectory shows a consistent focus on AI, Machine Learning, and Data Science, aligning well with roles requiring innovation and strategic thinking in data-driven environments. Their diverse experience across large enterprises (AWS, Accenture), mid-sized companies (Synchronoss, Agilex), and academic institutions (Georgetown) suggests adaptability and a broad perspective. The target role of 'Data Analyst' might be a mismatch for their senior leadership and strategic AI/ML background, as their experience significantly exceeds typical Data Analyst responsibilities, potentially leading to overqualification or a desire for more strategic influence.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, communication, and negotiation skills through their extensive experience in global leadership roles, managing cross-functional teams, and driving strategic initiatives. Their experience as an Adjunct Faculty also highlights their ability to communicate complex technical concepts to a business audience. The operational fit is strong given their history of building and scaling programs and teams.