leadership offer / 3-6 months
Fractional Head of AI
Senior AI leadership for companies that need strategy, architecture, vendor decisions, delivery discipline, and team enablement before hiring a full internal AI function.
Best fit
Leadership wants AI results, but ownership is scattered across product, data, IT, security, and vendors.
The company has many AI ideas but no prioritization, architecture principles, or delivery governance.
Teams are buying tools or building pilots without evals, observability, cost control, or security review.
You need senior judgment now, but not yet a full-time AI executive.
What I own
AI strategy, opportunity map, roadmap, and build-vs-buy decisions.
Architecture reviews for LLM platforms, agents, retrieval, automation, and AI infrastructure.
Vendor and model selection, evaluation criteria, cost controls, and governance.
Delivery operating model: ownership, evals, observability, security, approvals, and rollout.
Workshops and enablement for product, engineering, data, operations, and leadership.
Deliverables
AI roadmap tied to business priorities.
Architecture principles and review process.
Vendor/model decision framework.
Pilot portfolio with measurable success criteria.
Team enablement and operating cadence.
process
How it runs
- Assess current initiatives, people, systems, data, and constraints.
- Define the AI operating model and decision criteria.
- Prioritize the first portfolio of practical AI work.
- Run regular reviews, unblock teams, and move selected systems toward production.
Relevant background: Head of AI / AI Lead in banking, ownership of AI-platform and ML/AI product lifecycle, 30+ specialist teams, corporate education, production architecture, security, evals, and governance.