Head of Internal Technology & AI
New
United StatesFull-TimeManager
Salary not disclosed
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Job Details
- Required Skills
- Stakeholder managementChange Management
Requirements
- Proven experience leading end-to-end AI transformation, digital transformation, or large-scale technology change programs in a scaling organization.
- Strong technical foundation with the ability to understand architecture, review code, and engage in meaningful technical discussions with engineers.
- Demonstrated experience in change management, driving adoption of new tools and ways of working across large organizations.
- Strong strategic thinking and ability to structure complex cross-functional problems into clear, actionable roadmaps.
- Experience managing internal technology or IT functions, including systems, tooling, and operational infrastructure.
- Familiarity with modern AI engineering concepts such as LLMs, agents, MCPs, coding assistants, and integration frameworks.
- Strong stakeholder management skills with experience influencing senior executives and cross-functional leaders.
- Ability to operate with a product mindset for internal tools and services, focusing on measurable business impact.
- Experience leading teams responsible for both AI engineering and IT operations.
- Excellent communication skills with the ability to drive alignment at executive level.
Responsibilities
- Define and lead the organization’s AI transformation strategy, aligning initiatives with business priorities and long-term technology goals.
- Build and manage a structured portfolio of AI initiatives, including prioritization, ownership, timelines, and measurable impact metrics.
- Drive company-wide adoption of AI-first ways of working, improving productivity, automation, and decision-making across all departments.
- Lead change management efforts, including AI literacy programs, upskilling initiatives, and leadership enablement for sustainable adoption.
- Establish and evolve AI governance frameworks covering responsible usage, data readiness, tooling standards, and performance measurement.
- Own internal AI engineering strategy, including tools, agents, automations, integrations, and shared services that enhance productivity.
- Lead build-versus-buy decisions for AI tools and platforms, collaborating closely with executive and engineering leadership.
- Oversee corporate IT operations end-to-end, including identity management, SaaS administration, device management, and internal support systems.
- Ensure internal systems and data architecture are optimized for AI enablement, transparency, and scalability.
- Lead and develop a multidisciplinary team spanning AI engineers, IT specialists, and operations professionals.
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