Jason Loveland
Big Data EngineerChief AI and Analytics Officer
The Hartford
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Chief AI and Analytics Officer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Driving business transformation with AI and Analytics at The Hartford. Specialties: Executive Leadership and Engineering Management, Agentic AI, Generative AI, Data and AI Strategy, Acquisitions, Enterprise Architecture, AI and Machine Learning, Scalable APIs, Microservices, Advanced Analytics, Cloud, Modeling and Simulation
Old Dominion University
Masters, Engineering, Modeling and Simulation
January 1, 2005 – January 1, 2007
Villanova University
Bachelor of Engineering (B.E.), Computer Engineering
January 1, 1999 – January 1, 2003
The Hartford
Chief AI and Analytics Officer
September 1, 2025 – Present
Hybrid
Nike
VP of Enterprise AI/ML Engineering
August 1, 2021 – September 1, 2025
Nike
Head of AI and Machine Learning Engineering
April 1, 2020 – August 1, 2021
Nike
Interim VP of Enterprise Data & Analytics
November 1, 2019 – April 1, 2020
Nike
Sr. Director of Engineering, Advanced Analytics & Machine Learning
January 1, 2018 – December 1, 2019
ESPN
Director of Engineering and Architecture
January 1, 2017 – January 1, 2018
Hartford, Connecticut Area
ESPN
Director of Consumer Data Engineering
February 1, 2016 – January 1, 2017
Hartford, Connecticut Area
Lockheed Martin
Principal Engineer - Data Analytics
March 1, 2014 – February 1, 2016
MEAN.js
Open Source Contributor
January 1, 2013 – January 1, 2015
Lockheed Martin
Staff Software Engineer - Principal Investigator and Lead Architect
December 1, 2010 – March 1, 2014
Lockheed Martin
Software Engineer Sr.
December 1, 2007 – December 1, 2010
Lockheed Martin
Systems Engineer
December 1, 2003 – December 1, 2007
Jacobs
Systems Engineer
June 1, 2003 – December 1, 2003
Philadelphia, Pennsylvania, United States
EXCITE Introduction to Intelligence-Driven Defense® (I2D2)
Lockheed Martin
June 24, 2026 – Present
The Certified Information Privacy Professional - United States (CIPP/US)
IAPP
June 24, 2026 – Present
LM21 Certified Lean Six Sigma Greenbelt
Lockheed Martin
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long history of working in large, established organizations (Lockheed Martin, ESPN, Nike, The Hartford), indicating a fit for structured environments. Their progression into executive leadership roles in AI and Analytics suggests a drive for innovation and strategic impact. The breadth of experience across defense, media, and retail sectors, coupled with open-source contributions, demonstrates adaptability and a diverse technical interest. However, the target role of 'Big Data Engineer' might be a step down from their recent executive leadership positions, potentially indicating a mismatch in role expectations or a desire for a more hands-on technical role. This needs to be clarified.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and the ability to manage large, complex technical initiatives. Their experience in building and scaling data and AI platforms suggests a high degree of operational acumen and problem-solving capabilities. The descriptions highlight a focus on delivering business value and managing cross-functional teams, indicating strong collaboration and communication skills at an executive level.