01
Question the requirement
I challenge specs, assumptions, and inherited processes before building anything. The most expensive mistake is optimizing work that should not exist.
Five years building data and automation systems where operations and software meet.
BS Supply Chain, Rutgers (Summa Cum Laude). Five years across freight brokerage and cold-storage operators shipping ML, analytics, and automation that runs in production. Currently Data Manager at Genpro, leading a 4-person team supporting GTM strategy.
Right now
I'm Data Manager at Genpro, leading a 4-person data team that supports the GTM organization. My work centers on the pricing intelligence platform, enterprise data governance in BigQuery, and the systems that replace third-party middleware with stuff we own.
I think most of the friction in operational data work isn't technical — it's organizational. The interesting problems live where data, ML, and operations have to agree, and where role boundaries between "engineer," "analyst," and "operator" stop being useful. I work past those boundaries.
How I work
The operating system behind the projects. First principles, in order — applied to every build, every workflow, every team I lead.
02
Delete what does not need to be there
I look for steps, fields, handoffs, reports, and checks that can be removed entirely before adding new tooling.
03
Simplify what remains
Once the unnecessary pieces are gone, I streamline the core workflow so the system has fewer moving parts and fewer places to break.
04
Accelerate the cycle
Only after the process is clean do I focus on speed: faster feedback loops, faster reporting, faster decisions, and faster iteration.
05
Automate last
I use automation to lock in a validated workflow, not to preserve a broken one. Automating a bad process just scales the mess.
My journey
Five years of operational and analytical work, plus the side bets that kept it interesting. Hover any pill on desktop for the full story; mobile shows it inline.
25 ~GenproData Manager
Full-time · Jan 2025 — Present
Leading a 4-person data team that supports the GTM organization.
- Built the ML pricing intelligence platform serving thousands of lanes daily.
- Stood up enterprise data governance and replaced legacy EDI middleware (Cleo) with internal systems.
- Partner with leadership on market targeting, pricing intelligence, and commercial decision support.
ML pricingGTM strategyData governance
Full-time · Jan 2025 — Present
Leading a 4-person data team that supports the GTM organization.
- Built the ML pricing intelligence platform serving thousands of lanes daily.
- Stood up enterprise data governance and replaced legacy EDI middleware (Cleo) with internal systems.
- Partner with leadership on market targeting, pricing intelligence, and commercial decision support.
ML pricingGTM strategyData governance
24USCSSupervisor, Data & Automation
Full-time · Feb 2024 — Dec 2024
Led an 11-person team across data engineering, ML, and automation.
- Shipped SmartMove, the LTL load-planning platform ($9.3M validated savings).
- Designed the causal-inference framework used to validate ML impact across heterogeneous customer scenarios.
- Partnered with USCS leadership across operations and commercial.
Team leadershipSmartMoveCausal inference
Full-time · Feb 2024 — Dec 2024
Led an 11-person team across data engineering, ML, and automation.
- Shipped SmartMove, the LTL load-planning platform ($9.3M validated savings).
- Designed the causal-inference framework used to validate ML impact across heterogeneous customer scenarios.
- Partnered with USCS leadership across operations and commercial.
Team leadershipSmartMoveCausal inference
22 - 24USCSAutomation Specialist
Full-time · Aug 2022 — Feb 2024
Built ML, computer vision, and RPA automations across 26 cold-storage sites.
- Procurement, inventory, and fulfillment workflows became systems.
- Stack: UiPath, Power Platform, Python.
AutomationApplied ML
Full-time · Aug 2022 — Feb 2024
Built ML, computer vision, and RPA automations across 26 cold-storage sites.
- Procurement, inventory, and fulfillment workflows became systems.
- Stack: UiPath, Power Platform, Python.
AutomationApplied ML
22USCSSystems Analyst
Full-time · Jun 2022 — Aug 2022
Connective tissue between operational software, the warehouse, and downstream reporting.
- Built systems integrations across logistics and finance domains.
- Designed the data flows that the analytics work later sat on.
Full-time · Jun 2022 — Aug 2022
Connective tissue between operational software, the warehouse, and downstream reporting.
- Built systems integrations across logistics and finance domains.
- Designed the data flows that the analytics work later sat on.
21 - 22USCSLogistics Analyst · LDP
Full-time · Jun 2021 — Jun 2022
First role out of school as part of USCS's Leadership Development Program.
- Operational analytics on cold-storage logistics.
- Rotational exposure across logistics, customer experience, and load planning.
Full-time · Jun 2021 — Jun 2022
First role out of school as part of USCS's Leadership Development Program.
- Operational analytics on cold-storage logistics.
- Rotational exposure across logistics, customer experience, and load planning.
School
2021
BS, Supply Chain Management
Rutgers Business SchoolSumma Cum Laude (3.94 GPA). Led a six-student team in the New Jersey County College Case Competition.
More background: Bergen Community College spotlight ↗
Side projects
2023 — 2025
Cofounder
MutuallChrome extension that automated purchase-order management and one-click appointment scheduling across supply-chain portals — smart PO lookup, encrypted credential storage, full activity log. Sunset after a 2-year cycle. Listed on the Chrome Web Store: chromewebstore.google.com/detail/mutuall.
Contact
Emaillsancheznj@gmail.com
LinkedInlinkedin.com/in/luissanchez000