This position is in our Ag & Trading enterprise, where we connect producers and users of grains and oilseeds around the globe through origination, trading, processing, and distribution. We also offer a range of farmer services and risk management solutions.
Job Purpose and ImpactThe Smart Manufacturing & Supply Chain AI Enablement Lead is accountable for executing AI-enabled product development from concept through deployment, adoption, scaling, and continuous improvement to deliver measurable value across Manufacturing & Supply Chain.
This role partners with Operations, Supply Chain, and technology teams to shape and deliver an AI product pipeline that includes Gen AI, agentic AI, machine learning, automation, analytics, and workflow orchestration, while ensuring alignment to strategic objectives, responsible AI standards, adoption, and value realization.
Key Accountabilities- Lead end-to-end AI product execution, including discovery, business case development, solution design, prioritization, pilots, deployment, scaling, and value tracking.
- Translate business needs into AI product vision, roadmaps, prioritized backlogs, and delivery plans that balance near-term execution with long-term capability development.
- Partner with senior business and enterprise stakeholders to shape priorities, resolve trade-offs, and align investments, defining KPIs and value realization measures to guide decision-making across the portfolio.
- Drive development and scaling of Smart Manufacturing & Supply Chain AI products, including Gen AI assistants, agentic workflows, intelligent automation, predictive analytics, and decision-support tools.
- Translate business problems into AI product requirements, including user workflows, data needs, guardrails, testing criteria, adoption plans, and scalable operating models.
- Establish clear deliverables, project charters, delivery plans, and reports to plan, execute, and document AI product initiatives.
- Drive readiness, adoption, and sustained value realization in partnership with change management and operational teams.
- Establish operating rhythms for intake, prioritization, stage-gate decisions, backlog reviews, demos, adoption tracking, and value realization.
- Apply AI capabilities to improve manufacturing performance, decision quality, process efficiency, knowledge management, and frontline workflows.
- Identify risks, dependencies, and constraints early, proactively recommending mitigation strategies and trade-off decisions to maintain momentum and outcomes.
- Act as a functional thought leader on product management practices and emerging digital, analytics, automation, Gen AI, and agentic AI technologies.
- Perform other duties as assigned.
QualificationsMinimum Qualifications- Bachelor's degree in a related field or equivalent experience
- 4-6 years of relevant experience in product management, product ownership, digital delivery, or related roles
- Previous experience working in manufacturing and/or supply chain environments
- Experience translating business requirements into prioritized product backlogs and deliverables
- Technical fluency with data, analytics, APIs, Python, automation, or AI development environments to execute and partner effectively with technical teams.
- Experience developing or deploying AI-enabled solutions such as Gen AI assistants, agentic workflows, intelligent automation, predictive analytics, or decision-support tools.
Preferred Qualifications- Demonstrated ability to lead through influence, aligning diverse stakeholders around a common product vision and driving outcomes
- Experience managing digital, data, analytics, automation, or AI products applied to operational environments
- Strong analytical skills with experience using data to inform prioritization and decision-making
- Working knowledge of agile values, frameworks, and metrics
- Experience supporting technology-enabled business transformation or change initiatives
- Understanding of AI product development concepts, including Gen AI, agentic AI, machine learning, automation, data products, or digital workflow solutions.
- Familiarity with Gen AI and agentic AI solution patterns, including prompt design, retrieval-augmented generation, workflow orchestration, tool/action integration, model evaluation, human-in-the-loop controls, and responsible AI practices.
