This job is no longer available
This job expired on 19/07/2026. It no longer accepts applications.
Head of Internal Technology & AI
Jobgether
Job description
About the role
We are seeking a senior leader to drive our transformation into an AI‑native organisation. The Head of Internal Technology & AI will own the end‑to‑end AI adoption journey, shaping both the internal technology landscape and company‑wide AI strategy while working in a fast‑scaling, remote‑first environment.
Key responsibilities
- Define and lead the AI transformation strategy, aligning initiatives with business priorities and long‑term technology goals.
- Build and manage a portfolio of AI projects, setting timelines, ownership and measurable impact metrics.
- Promote AI‑first ways of working across all departments, improving productivity, automation and decision‑making.
- Lead change‑management programmes, including AI literacy, upskilling and leadership enablement.
- Establish AI governance frameworks covering responsible use, data readiness and tooling standards.
- Own internal AI engineering strategy, including tools, agents, automations, integrations and shared services.
- Make build‑versus‑buy decisions for AI platforms in close collaboration with executive and engineering leadership.
- Oversee corporate IT operations – identity management, SaaS administration, device management and internal support systems.
- Ensure internal systems and data architecture are optimised for AI enablement, transparency and scalability.
- Lead and develop a multidisciplinary team of AI engineers, IT specialists and operations professionals.
Required profile
- Proven experience leading end‑to‑end AI or digital transformation programmes in a scaling organisation.
- Strong technical foundation with the ability to understand architecture, review code and engage with engineers.
- Demonstrated change‑management expertise and success driving adoption of new tools at scale.
- Strategic thinking with the ability to structure complex programmes and measure impact.
Required skills
- AI engineering
- IT operations
- SaaS administration
- Identity management
- Data architecture
- AI tooling ecosystems
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