Senior Director of Artificial Intelligence

Company and Position Overview:

JB Poindexter & Co (JBPCO) is a privately held, diversified manufacturing company forecasting $3B in annual revenue and 10,000 team members in 2026.

JBPCO prides itself on providing best-in-class commercial automotive and industrial vehicles.

The nine operating subsidiaries, covering approximately 70 locations, are engaged in the production of commercial truck bodies, step-vans, utility trucks, ambulances, funeral coaches, limousines, electric and alternative fuel vehicles, pickup truck bed enclosures, and expandable foam plastic packaging.

For more information about our industry leading brands and products visit JBPoindexter.com or connect on LinkedIn.

The Senior Director of Artificial Intelligence is accountable for defining, governing, and scaling JBPCO's enterprise AI strategy to drive measurable productivity, operational efficiency, and competitive advantage across operating companies.

This role owns the AI roadmap end-to-end translating emerging technologies into pragmatic, high-ROI use cases while ensuring disciplined execution, data integrity, security, and responsible AI practices.

This is not a research role.

It is a hands-on enterprise leadership position focused on execution, adoption, and results across a diversified industrial portfolio.

An enterprise value driver, operating-model architect, and disciplined executor.

Essential Job Functions:

Enterprise AI Strategy & Governance


* Define and own JBPCO's multi-year AI and advanced analytics strategy aligned to corporate priorities and operating company needs.


* Establish enterprise standards for AI governance, security, data usage, compliance, and responsible AI, in coordination with IT and Legal.


* Lead the AI development and deployment, setting intake, prioritization, stage-gates, and funding recommendations for AI initiatives.

Use-Case Identification & Value Delivery


* Translate AI capabilities (e.g., GenAI, agents, predictive analytics) into clearly defined business use cases with quantified ROI.


* Prioritize initiatives that deliver near-term productivity gains and operational leverage, particularly in back-office, commercial, and operational workflows.


* Own success metrics for AI initiatives, including adoption, productivity impact, financial returns, and risk posture.

Platform, Architecture & Integration


* Oversee enterprise AI architecture and tooling, ensuring integration with core systems (ERP, CRM, PLM, data platforms).


* Partner with IT to ensure AI solutions are scalable, secure, cost-controlled, and production-ready.


* Establish standards for MLOps, model lifecycle management, monitoring, and human-in-the-loop controls.

Operating Company Enablement


* Serve as an executive partner to operating companies, helping them identify, pilot, and scale AI solutions aligned to real business problems.


* Balance enterprise consistency with local flexibility-avoiding redundant tools while e...