AI Engineer

The Manager, AI & Business Transformation leads Fresh Origins’ AI program from the business side. This is a business analyst and project manager first: someone who can sit with Operations, Sales, Accounting, and Production, understand how work actually gets done, find where AI and automation will pay off, and then run the projects that deliver it. The core of the role is AI program leadership: building the roadmap, managing outside AI partners, running pilots, driving adoption of the company’s enterprise AI tools, and reporting results to leadership and corporate.

Supporting that is business analytics and reporting: defining KPIs, partnering with the analytics team on the company data lake and Power BI, and making sure decisions run on one trusted set of numbers. Underneath both is the ERP: understanding the data model, working with the ERP administrator and implementation partner on configuration and integration needs, and keeping AI and analytics initiatives grounded in the system of record.

Reporting to the IT Director, this position is the operational leader of Fresh Origins’ AI and data initiatives and a core part of the company’s investment in AI-driven transformation. The role works closely with the EDI & Production Systems Coordinator, who manages EDI transactions, trading partner platforms, VIDA
18 warehouse management, item data, and the commercial customer portal, and with stakeholders across Finance, Operations, Sales, and Production. It supports Fresh Origins’ mission of delivering the highest-quality microgreens and edible flowers through innovation and precision.

• Own the AI roadmap and project portfolio: prioritize initiatives by business value, feasibility, cost, and timeline; sequence them; and manage them end to end from discovery through adoption.
• Educate leaders and key stakeholders on AI principles, capabilities, risks, and practical business applications; translate technical concepts into clear business recommendations.
• Lead business analysis for AI use cases: interview stakeholders, map current processes, quantify manual effort and data breaks, and define requirements and success metrics before any tool is selected.
• Run projects as the project manager of record: scope, timeline, resourcing, risk, testing, rollout, and status reporting for each AI and automation initiative.
• Manage outside AI consultants and implementation partners day to day: set deliverables, review work, test outputs, and hold partners to scope, budget, and timeline.
• Lead the AI-driven demand planning initiative from the business side: define the planning questions, coordinate data readiness (planting, harvest, yield, weather, holidays, sales), and validate model outputs with Production and Sales.
• Support the rollout of AI-assisted order intake and customer service automation: process design, user acceptance testing, and clean handoff into ERP and customer‑facing workflows in coordination with the EDI & Production Systems Coordinator.
• Drive adoption of the company’s enterprise AI tools: identify use cases by department, deliver training and office hours, manage licenses, and track utilization and outcomes.
• Pilot and evaluate AI capabilities for forecasting, anomaly detection, document processing, and workflow automation; recommend build, buy, or partner decisions.
• Prepare AI program updates for company leadership and corporate stakeholders, including portfolio‑level AI reporting and best‑practice sharing.
• Maintain the AI governance framework with the IT Director: responsible use, data privacy, vendor risk, and change management.
• Own business continuity for AI tools, automations, and integrations once live: documentation, monitoring, fallback procedures, and clear…