VP of IT
Develop and retain IT talent
What You Do Today
Recruit and retain technology professionals in the most competitive talent market. Manage the balance between contractors and full-time staff, build career paths, and keep skills current.
AI That Applies
Skills assessment and learning recommendation engines that identify gaps and suggest personalized development paths for each team member.
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
Skill development becomes more targeted and continuous. AI identifies the specific skills your team needs for upcoming projects and recommends training proactively.
What Stays
Retaining talented technologists requires purpose, growth opportunities, and good management — not just competitive pay. Building that culture is human leadership.
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 develop and retain it 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 develop and retain it 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 develop and retain it talent?”
They shape expectations for how AI appears in governance
your CTO or CIO
“Who on our team has the deepest experience with develop and retain it 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 develop and retain it 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.