VP / Director IT Leadership
Service Delivery • Transformation • AI Enablement
I lead enterprise technology teams to measurable outcomes: higher reliability, faster delivery, lower cost, stronger governance, and practical AI adoption that improves productivity without increasing risk.
Impact snapshot
Replace/adjust these metrics to match your final resume bullet values exactly.
Leadership outcomes I’m hired for
Operational Excellence
- Improve MTTR, SLA compliance, and service experience through work-left, knowledge maturity, and clear ownership.
- Build consistent incident/problem/change discipline to stabilize production and reduce repeat issues.
Modern Delivery
- Accelerate delivery with CI/CD, automated testing, quality gates, and pragmatic DevOps practices.
- Align architecture, platforms, and engineering around business capabilities and measurable KPIs.
AI Enablement (Practical)
- Deploy safe productivity AI (support triage, knowledge, reporting, SDLC copilots) with guardrails.
- Stand up governance: data, security, risk, and ROI-based use case intake.
Sample 90-Day Plan (VP/Director level)
Days 1–30: Listen & Baseline
- Meet stakeholders; confirm business outcomes, constraints, and top pain points.
- Baseline service KPIs (MTTR, backlog, SLA, CSAT) and delivery metrics (lead time, deploy frequency).
- Risk review: security posture, vendor health, critical apps, and operational single points of failure.
- Identify 3 “fast relief” actions (top recurring incidents, top bottleneck, top cost leak).
Days 31–60: Stabilize & Align
- Launch work-left program: routing accuracy, KB expansion, tiered escalation agreements.
- Define operating model: RACI, weekly exec metrics, incident/problem/change cadences.
- Stand up delivery guardrails: CI/CD baseline, test strategy, quality gates, release governance.
- AI enablement: approve 2–3 low-risk, high-ROI use cases with governance controls.
Days 61–90: Execute & Scale
- Deliver measurable wins (MTTR reduction, SLA improvement, cost savings, reliability improvements).
- Roadmap: 12–18 month modernization plan tied to business capabilities and investment themes.
- Talent plan: skills matrix, mentorship, role clarity, succession, and hiring priorities.
- AI scale plan: intake process, value tracking, and training/adoption program.
AI Enablement (Executive-ready framing)
Where AI helps fast
Support triage, knowledge generation, reporting summaries, SDLC copilots, policy Q&A, self-service.
Guardrails
Data classification, approved tools, logging, prompt hygiene, human-in-the-loop, and model risk review.
How value is measured
Hours saved, MTTR reduction, ticket deflection, faster cycle time, fewer defects, and adoption metrics.
This section is intentionally practical — it reads like a leader who can ship outcomes, not hype.
Selected case studies (add 3–6)
- Service Desk modernization: shift-left, knowledge maturity, routing accuracy, vendor optimization.
- Engineering discipline uplift: CI/CD, automated testing, quality gates, release governance.
- Power Platform governance: environment strategy, DLP tiers, exception workflow, CoE patterns.
- Enterprise architecture: capability mapping, platform rationalization, integration strategy.
I can convert each of these into clean 1-page mini case studies with metrics.
Contact
Email: cj@cjvoss.io
LinkedIn: CJ Voss
Location: Chicago area • Open to hybrid/remote
Connect Now: 15 Min - Intro | 30 Min - Strategy