VP of Supply Chain
Build and develop supply chain talent
What You Do Today
Recruit and retain supply chain professionals with increasingly diverse skill requirements — analytics, technology, sustainability, risk management alongside traditional procurement and logistics expertise.
AI That Applies
AI tools that augment supply chain professionals, automating routine planning and monitoring tasks so people can focus on strategic decision-making.
Technologies
How It Works
The system ingests candidate data — resumes, assessments, interview feedback, and historical hiring outcomes. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
The supply chain professional role evolves from transactional to strategic. Your team spends less time on purchase orders and more on supplier development and risk management.
What Stays
Building a team culture of collaboration, continuous improvement, and customer focus. Retaining talent in a competitive market requires purpose and development opportunities.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for build and develop supply chain talent, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long build and develop supply chain talent takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your board chair or lead independent director
“What data do we already have that could improve how we handle build and develop supply chain talent?”
They shape expectations for how AI appears in governance
your CTO or CIO
“Who on our team has the deepest experience with build and develop supply chain talent, and what tools are they already using?”
They own the technology infrastructure that enables AI adoption
a peer executive at a company further along on AI adoption
“If we brought in AI tools for build and develop supply chain talent, what would we measure before and after to know it actually helped?”
Their lessons learned are worth more than any consultant's framework
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.