Leading cross-functional programs and teams through tight timelines and shifting priorities — Rivian, Volvo Group, Hyundai
I lead complex, cross-functional programs from ambiguity to on-time delivery — aligning engineers, vendors, and leadership around a moving target, and building the systems that let teams keep pace as priorities shift.
I lead cross-functional programs where the timeline is tight, the requirements shift mid-flight, and success depends on getting engineers, vendors, and leadership aligned around the same target. At Rivian, that's meant owning enterprise system rollouts end-to-end — coordinating offshore teams, internal engineering, and project managers to hit launch dates without sacrificing quality.
I currently lead a team of planners, and I care as much about building people as I do about hitting metrics — coaching for growth, creating clear ownership, and keeping a team steady when priorities move. My approach is to combine hands-on program leadership with a genuine understanding of the technical and operational details underneath it, so I'm not just tracking a plan — I understand where it can break and how to fix it.
I started as a Quality Engineer at Hyundai, root-causing failures in physical parts. That engineering instinct — find the real cause, not just the symptom — is what shaped how I lead programs today: diagnose the actual constraint, then build the process or system that resolves it for good.
Selected systems and models I've designed and shipped that moved real business metrics.
Business Lead and SME on a $2M+ Advanced Planning System rollout, coordinating offshore vendors, engineers, and PMs to launch on time. Forecast accuracy improved 40%; inventory turns rose from 1.2x to 1.9x in 8 months.
Built a model automating new-parts planning by part compatibility across 8,000+ SKUs, generating an estimated $6M+ in annual inventory savings.
Built a Python forecasting tool with multi-variable inputs adopted by 6 planners, eliminating manual data entry and cutting processing time by 20 hours per planner per week.
Built a predictive forecast model using telemetric and maintenance data, increasing part availability 30% and cutting customer repair wait times by 2 days.
Built and automated large-scale demand forecasting using machine learning models across 3,000 SKUs and 3 regions, reducing forecast model variance by 15%.
Built automated KPI and ETA reporting tools in Power BI and SQL used by 20+ planners, and automated back-order invoicing with Python — cutting manual reporting time by 30%.
7+ years across automotive and industrial supply chains, from the shop floor to enterprise program leadership.
Master's Degree, Industrial Engineering · 2016 – 2018
B.E., Mechanical Engineering · 2012 – 2016
I'm looking for the next org where the problem is bigger than one team's forecast — global network capacity, multi-tier supplier coordination, or systems that need to scale across regions. If you're building a program management or capacity planning function, I'd like to talk.