Stamford, Connecticut, United States
Strategy & Innovation leader in Industrials & Technology. PhD in Mechanical Engineering from Duke University. ex-McKinsey team leader advising Fortune 100 CXO's on profitable growth and organizational efficiency & effectiveness. Former AI SaaS startup Director deploying AI-powered solutions to detect emerging product quality issues for global manufacturing, engineering, and field service organizations.
Led strategic initiatives in product development, growth, and customer success for an AI observability platform. Joining a seed-stage startup as employee #9, I managed data & product teams, collaborated with sales & marketing, and worked with customers across a variety of pre-sales, post-sales, and product management activities, achieving a $100M Series A valuation within 10 months by rapidly scaling ARR and customer value. Select accomplishments: + Led team of 5 product and data analysts, delivering AI solutions that generated over $14M in customer ROI during a six-month pilot, leading to a multi-year, 800% contract expansion + Scoped and delivered 30 new UI features and AI capabilities, improving user experience and accelerating issue resolution time by 16% for major industrial companies + Championed user-centric product development, increasing Monthly Active Users by 43% through targeted improvements and customer success initiatives + Created playbooks, case studies, and training materials for new hires that covered product value creation, user engagement, and account management About Axion Ray: Axion Ray is an AI observability platform, helping global manufacturers detect and resolve emerging product quality issues hidden in siloed, messy data sources. Primary verticals include Industrials, Automotive, Aerospace & Defense, Consumer Goods, Healthcare.
Led McKinsey and client teams to deliver growth strategies and operational efficiency for Fortune 500 clients in diverse sectors (Industrials, High Tech, A&D, FinTech, Private Equity, MedTech, O&G, Construction). Primary responsibilities: • Align stakeholders to common goals, scope the approach, and lead problem solving • Create hypothesis-driven workplans to maximize impact and meet tight deadlines • Mentor and coach team members with diverse experience, skills, and backgrounds • Translate insights into business implications and recommend actionable solutions • Prepare and present executive-level communications for CXO stakeholders • Drive transformation by implementing change management initiatives • Lead business development opportunities to propose new client engagements
Solved ambiguous business problems by defining hypotheses, analyzing data, identifying insights, and presenting final recommendations to Fortune 500 CxO clients. Representative client engagement topics include: • Go-to-market / pricing strategy for a new TV streaming service • Pricing / contract negotiation strategy for a Medical Device client • Commercial Excellence & Growth playbook for a dealership network • Due diligence, financial valuation, and market analysis of an M&A target for a PE client • Cash conversion cycle optimization and S&OP diagnostic for an Aerospace client • Divestiture strategy and shareholder value creation for a global diversified industrial • SG&A diagnostic to improve efficiency of organizational design, end-to-end processes, functional operating models, digital tools, and third party spend
• Led multi-year research initiatives and utilized computational modeling and analytics to advance the understanding of jet engine aeroelasticity and prevent catastrophic failures in turbomachinery blades • Authored and presented 8 peer-reviewed publications at international research conferences to large audiences of Government, Industry, and Academic attendees. • Winner of 2013 National Defense Science & Engineering Graduate Fellowship
Advanced the research of nonlinear dynamics seen in hypersonic flight vehicles. Designed and built an experimental test-rig to analyze nonlinear phenomena, such as limit cycle oscillations and sensitivity to initial conditions (i.e., chaos). Programmed an automated data collection and processing pipeline using LabVIEW and validated experimental results with computational models in MATLAB.
Improved the safety of jet engine compressor blades (Boeing 737, Black Hawk) using computational fluid dynamic models (CFD) to simulate flight conditions, data visualization tools to interpret results, and interdepartmental engineering collaboration to iterate system design.