Head of Internal Technology & AI

Overview

Accountabilities

• 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.

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.
• Nice to have: experience with AI governance frameworks, regulatory considerations (e.g., EU AI Act), or marketplace/scale-up environments.

Benefits

• Fully remote-first working model with optional access to physical office spaces and co-working hubs.
• Flexible work arrangements supporting autonomy and work-life balance.
• Annual learning and development budget for courses, conferences, and professional growth.
• Mental health and personal development support through external coaching and wellness partners.
• Regular internal workshops and cross-team knowledge-sharing sessions.
• Participation in company-wide office weeks and team-building events.
• High degree of ownership and autonomy in shaping strategic transformation initiatives.
• Inclusive and values-driven culture focused on feedback, experimentation, and continuous learning.

How Jobgether Works

Data Privacy Notice