Executive AI Learning & Development Plan
Profile This Plan Is Built For
Global Business Development Executive and Mechanical Civil Engineer (MBA) with 20+ years leading:
- International commercial expansion across North America, Latin America, the Caribbean, and Europe
- Complex enterprise negotiations in capital-intensive industrial markets
- Executive and Board-level growth strategy decisions
- Cross-functional alignment across technical, legal, financial, and operational stakeholders
Strategic Objective (12-18 Months)
Transform from high-performing commercial growth executive into an AI-enabled Growth and Transformation Leader who can:
- Use AI to increase pipeline quality, speed, and conversion in enterprise sales cycles
- Negotiate stronger contracts with clear AI/data/IP and risk terms
- Drive responsible AI adoption across regions and business units
- Lead Board-level AI growth discussions backed by measurable business value
Plan Design Principles
- Business-value first: every learning block ties to revenue, margin, risk, or velocity
- Executive practical: no low-value technical depth; enough architecture fluency to make strong decisions
- Industry-aligned: grounded in mining, heavy industry, energy, and industrial B2B — his actual domain, not generic IT tracks
- Global operating model: multilingual (English/Spanish), cross-jurisdiction, and governance-aware
This plan intentionally excludes coding certifications (e.g., AI-102, which is a Python/C# developer exam). The training targets an executive commercial leader: AI strategy, commercial-AI, governance, and mining/industrial-sector applications. See Programs & Credentials Roadmap and Sources & Verification.
Program Structure (28 Weeks)
| Phase | Duration | Focus | Outcome |
|---|---|---|---|
| Phase 1 | Weeks 1-6 | Executive AI foundation | Shared language with AI, data, architecture, and legal teams |
| Phase 2 | Weeks 7-14 | Commercial AI for growth | AI-enabled account strategy, qualification, and negotiation acceleration |
| Phase 3 | Weeks 15-21 | Governance, risk, contracts | AI-ready commercial frameworks and cross-border risk controls |
| Phase 4 | Weeks 22-28 | Scale and leadership | Portfolio rollout, executive communication, and operating cadence |
Certification Roadmap (Value-Oriented)
See the full roadmap in Certification Roadmap, built around verified executive AI programs (MIT Sloan, Wharton, Kellogg) rather than developer certs.
Priority sequence:
- (Optional) AI-900 — fast, non-coding baseline for shared language with technical teams
- MIT Sloan — AI: Implications for Business Strategy
- Wharton — AI Strategy and Decision Making (extends his Wharton CSO credential)
- Kellogg — AI Strategies for Business Transformation (industry/vertical focus)
- Governance + AI-in-contracts specialization (NIST AI RMF, ISO/IEC 42001, EU AI Act)
Practical Work Products You Will Build
See Value Projects for full detail.
- AI-Enhanced Strategic Account Playbook
- AI-enabled Global Opportunity Reactivation Engine
- Contract Negotiation Copilot for cross-jurisdiction deals
- Executive AI Growth Dashboard for CEO/Board reporting
- Responsible AI Commercial Governance Framework
First 90 Days
Start with First 90 Days Execution Plan to generate visible results quickly while building long-term capability.
Success Metrics
Track progress with KPI Scorecard, including:
- Pipeline velocity and conversion
- Strategic account penetration
- Negotiation cycle efficiency
- Governance and risk quality
- Executive adoption and organizational scaling