Scaling Enterprise Value through AI & Analytics
A selection of high-stakes initiatives delivering measurable ROI for global organizations.
EV Fleet Operational Efficiency
The $145.2M Efficiency Win
The Challenge: As General Motors transitioned to a digital-first EV fleet model, operational costs and battery health predictability emerged as critical barriers to scaling profitability for enterprise customers.
The Strategy: Engineered a suite of telemetry-based machine learning models to analyze real-time battery degradation and energy consumption across global fleet deployments. I led the "translation" of this technical telemetry into a strategic battery-sizing framework.
The Execution: Integrated ML-driven insights into the product development lifecycle, allowing for precision in capital expenditure and vehicle specifications.
The Result: Delivered $145.2M in annual operational savings and established the gold standard for EV fleet sustainability metrics within the organization.
Telematics & Connected Services Monetization
The $325M Revenue Innovation
The Challenge: Managing billions of daily data points from connected vehicles without a clear, scalable roadmap to convert that data into recurring digital revenue.
The Strategy: Architected a comprehensive data-driven product roadmap and engineered a telematics prototype designed to identify and capture "moments of need" for global vehicle owners.
The Execution: Partnered with cross-functional product and engineering teams to build a proprietary data ecosystem that identifies high-propensity targets for subscription services.
The Result: Unlocked $325M in projected annual benefits, successfully pivoting the data department from a support function to a primary revenue driver for Global Connected Services.
Global Fleet Market Expansion
Driving 33% Market Penetration
The Challenge: Stagnant growth in the adoption of digital fleet products, with market penetration hovering at 25% amidst increasing competition.
The Strategy: Conducted a deep-dive behavioral analysis of the global fleet customer base to identify friction points in the digital product journey. I redesigned the go-to-market analytics strategy to prioritize high-lifetime-value segments.
The Execution: Led a globally dispersed team of analysts to implement real-time growth tracking and predictive churn models, allowing sales teams to proactively target expansion opportunities.
The Result: Successfully scaled market penetration for Global Fleet Digital Products to 33%, significantly increasing the revenue footprint of a multi-billion dollar business unit.