AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data & AI Leader | Knowledge Graphs, Semantic Modeling & Agentic AI | Adjunct Faculty, Northeastern | Speaker & Board Advisor | ex-Bose, Adobe, Stanley Black & Decker, Fidelity
I'm a senior data and AI leader, coach, and advisor with over two decades of experience building and scaling data organizations — from startups to global enterprises. The through-line of my career: AI rarely fails because the models are weak. It fails because the meaning underneath the data is ambiguous — and semantic modeling, ontologies, and knowledge graphs are the layer most pipelines are missing. I started at Fidelity and have since led data and engineering teams at Stanley Black & Decker, Bose, Adobe, Synopsys, Staples, Monster, and edX. Today, as Director of Data Engineering at Frontdoor, I lead data architecture, governance, and AI engineering across the business — multi-agent analytics, a governed semantic layer, ontology-driven pipelines, and a federated approach to agentic AI. That work is also why I teach. As adjunct faculty at Northeastern's College of Engineering, I built graduate courses in Data Engineering and Knowledge Graphs bridging classical semantic-web foundations to today's enterprise AI tools. I serve on CDO Magazine's editorial board, co-chair its Boston Leadership Committee, and speak regularly on semantic modeling and agentic AI — Snowflake Summit, ODSC East, and AIxED Connect in 2026. I hold an MBA from UMass Amherst's Isenberg School and an MS in Computer Science. Always happy to connect with people working on hard problems in data, AI, or how we teach the next generation to do it well.
Isenberg School of Management, UMass Amherst
Master of Business Administration (MBA)
N/A – Present
Bridgewater State University
Master's degree, Computer Science
N/A – Present
Stanford University Graduate School of Business
LEAD Program, Corporate Innovation
N/A – Present
Bangalore University
Bachelor of Engineering (BE), Electrical/ Electronics Engineering
N/A – Present
Frontdoor, Inc.
Head of Data Engineering & Architecture
February 1, 2024 – Present
Remote
Northeastern University
Adjunct Faculty, College of Engineering
August 1, 2023 – Present
Boston, Massachusetts, United States · On-site
CDO Magazine
Editorial Board Member & Co-Chair of Boston Leadership Committee
October 1, 2022 – Present
Stanley Black & Decker, Inc.
Senior Director, Data & Advanced Analytics
November 1, 2021 – January 1, 2024
Greater Boston · Hybrid
Bose Corporation
Head of Data Engineering, Data & Analytics
March 1, 2020 – November 1, 2021
Greater Boston
Synopsys Inc
Senior Data Engineering Leader
March 1, 2019 – March 1, 2020
Greater Boston
Adobe
Senior Manager, Data Science & Machine Learning
January 1, 2016 – January 1, 2019
Greater Boston
Sonian
Director of Engineering, Analytics & Machine Learning
January 1, 2015 – January 1, 2016
Greater Boston Area
edX
Senior Engineering Manager, Mobile
January 1, 2014 – January 1, 2015
Cambridge, MA
Staples eCommerce Engineering & Velocity Lab (Cambridge)
Senior Engineering Manager, eCommerce & Mobile
January 1, 2011 – January 1, 2014
Greater Boston
Monster
Manager, Search Engineering
January 1, 2007 – January 1, 2011
Greater Boston
Dun & Bradstreet (formerly Onesource Information Services)
Software Development Manager
January 1, 2004 – January 1, 2007
Greater Boston
Excelergy
Software Engineering Consultant
January 1, 2003 – January 1, 2004
Greater Boston
Extreme Reach
Software Developer
January 1, 2002 – January 1, 2003
Greater Boston
Comverse
Software Applications Engineer IV
January 1, 1999 – January 1, 2002
Greater Boston
Fidelity Investments
Senior Software Engineer
January 1, 1997 – January 1, 1999
Greater Boston
NLP, ML Foundation Track, Analytics Engineering
Uplimit
June 24, 2026 – Present
Executive Certificate in Strategy & Innovation
MIT Sloan Executive Education
June 24, 2026 – Present
Leading with Data and Analytics
University of Chicago Booth School of Business Executive Education
June 24, 2026 – Present
Executive Certificate in Management & Leadership
MIT Sloan Executive Education
June 24, 2026 – Present
Business Analytics
Harvard Business School Online
June 24, 2026 – Present
AWS Certified Cloud Practitioner
Amazon
June 24, 2026 – Present
Data Engineering with Google Cloud Specialization
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various industries (home warranty, manufacturing, consumer electronics, software, education) and their involvement in industry leadership (CDO Magazine) suggest adaptability and a broad perspective. Their dedication to teaching and mentoring aligns with a culture of knowledge sharing and development. However, the target role of 'Data Engineering Intern' is fundamentally misaligned with their career trajectory and experience level, which could lead to dissatisfaction or a poor fit for a junior-level position.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and a commitment to continuous learning, as evidenced by their progression into senior leadership roles, academic contributions, and numerous executive certifications. Their experience in building and scaling data platforms, coupled with their teaching background, suggests excellent communication and mentoring skills. The focus on data governance, data as a product, and federated architectures indicates a strong operational fit for roles requiring robust, scalable, and well-managed data ecosystems. However, the target role of 'Data Engineering Intern' is a significant mismatch for their extensive senior-level experience.