Director, AI Transformation Programs

The Director AI Transformation Programs leads the delivery of large cross-cutting AI programs that span multiple strategic workstreams and functional areas of the AI Transformation Council (AITC) - initiatives such as enterprise coding-assistant rollouts skills-intelligence platforms and frontier-model pilots. Where individual workstreams own strategy within their domain this role owns end-to-end execution across domains: a single integrated plan single-point accountability and measurable adoption and value outcomes.

• Program leadership - own two to three enterprise AI programs end-to-end from business case and vendor selection through pilot scaled rollout and value realization.
• Integrated planning - build and drive one plan per program across the workstreams and functional areas it touches (data architecture security legal workforce commercial) resolving cross-domain dependencies and sequencing.
• Vendor & partner management - manage AI platform and tooling vendors through evaluation contracting support deployment and performance management; hold partners to adoption and outcome commitments.
• Technical fluency - understand the solutions being deployed - LLM-based assistants agentic workflows retrieval-augmented systems API integrations - well enough to challenge vendor claims shape architecture decisions with engineering counterparts and de-risk delivery.
• Adoption & value - define the adoption and value plan per program - executed with and through the owning workstreams and functional areas - with usage and value indicators instrumented from day one and used to course-correct.
• Executive stakeholder management - operate confidently with senior workstream and functional-area leaders; prepare crisp ESC-level updates and decision papers; escalate by exception with options not problems.
• Delivery discipline - set the delivery standard for how AI programs are run centrally - reusable playbooks gate criteria and lessons learned that raise the bar for every subsequent program.

• 10 years in technology program management transformation delivery or product/platform leadership with 5 years leading complex multi-stakeholder programs in a global matrix organization.
• Demonstrated delivery of at least one enterprise-scale technology or AI/ML program from initiation to adoption at scale.
• Working technical literacy in modern AI: generative AI and LLM concepts agentic and RAG architectures model integration patterns and the basics of the AI development lifecycle.
• Strong commercial and vendor-management skills including SaaS/AI platform contracting and performance management.
• Executive-grade communication: able to distill complex programs into decisions for C-level forums.

• Experience deploying AI coding assistants copilots or enterprise GenAI platforms.
• Life sciences healthcare or other regulated-industry background; familiarity with validation and AI governance requirements.
• Program management certification (e.g. MSP PgMP PMP) or equivalent applied track record.

• Assigned programs have a single integrated plan clear accountability and are delivering against committed milestones.
• Adoption and value metrics are defined instrumented and trending positively for each program.
• Workstream and functional-area leaders actively pull this role in as the recognized execution owner for cross-cutting initiatives.

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