LHH Head of AI, Digital Innovation and Platforms

LHH Head of AI, Digital Innovation, & Platforms

LHH’s future‑state AI strategy, platform architecture, and technical innovation agenda. Acting as LHH’s most senior AI and platform architecture authority, this role defines the technical foundations, architectural governance, and innovative solution ecosystem that will power LHH’s next generation of client, candidate, and colleague experiences.

The role will play a pivotal dual function:

• Enterprise AI & Digital Innovation Leadership — setting strategy, evaluating emerging technologies, leading AI solution design, and orchestrating adoption.
• Chief Platform & Architecture Leader — defining platform architecture, standards, integration patterns, and technical guardrails across LHH’s global ecosystem.

• Define LHH’s global AI strategy, spanning agentic AI, generative AI, automation, NLP/NLG, analytics, and applied machine learning.
• Utilize an AI governance model ensuring responsible, compliant, and ethical AI usage aligned to group standards.
• Utilize the enterprise‑wide evaluation criteria and selection methodologies for emerging AI solutions, platforms, and vendors.
• Shape the roadmap for LHH AI‑enabled products and data‑driven internal capabilities.
• Own the enterprise architecture blueprint for LHH’s global platform ecosystem, enabling interoperability, scalability, and modernization.
• Define architectural principles, patterns, and integration frameworks that guide all technology decisions.
• Evaluate build‑vs‑buy decisions and lead technical due diligence for new platforms, ensuring alignment with business strategy and LHH’s long‑term platform vision.
• Partner with the CDIO and Group IT&D on cloud strategy, data architecture, security, performance, and operational excellence.

• Serve as the technical authority across all innovation initiatives, ensuring that new AI and digital solutions are architecturally sound and implementable at scale.
• Lead a multidisciplinary team of architects, AI specialists, data engineers, and platform technologists.
• Translate complex technical concepts into strategic insights for executive and business line stakeholders.
• Oversee technical validation of new solution bundles, pilots, and proofs‑of‑concept from ideation through scale.

• Continuously assess external AI and platform trends, competitor activity, and HRTech market evolution.
• Maintain a strategic view of AI platforms, workflow orchestration tools, integration technologies, automation frameworks, and data intelligence engines.
• Lead evaluation, prototyping, and selection of next‑generation technologies that materially advance LHH’s value proposition.

• Lead technical architecture for new global platforms and oversee sequencing, dependencies, and design principles.
• Ensure alignment between AI capabilities, platform capabilities, data pipelines, and operational workflows.
• Define and enforce engineering and architecture standards across LHH globally.
• Partner with Product, Innovation, and Advisory lines to co‑design scalable, compliant, and monetizable digital solutions.

• Work closely with LHH ELT, Business Line Presidents, and IT&D to ensure technology decisions support business strategy and enable differentiation.
• Act as LHH’s senior technical evangelist — educating leadership teams on AI, architecture, and emerging technology opportunities.
• Build strong relationships with vendors, research partners, academic bodies, and the broader Adecco Group technology ecosystem.

• 15-20 years in enterprise technology leadership roles, with deep experience in:
• Emerging technology evaluation & adoption
• Scalable platform design and global solution integration
• Proven experience leading technical architecture for complex, multi‑country digital platforms.
• Demonstrated ability to evaluate, implement, and govern AI solutions in an enterprise environment.
• Strong technical fluency (AI/ML frameworks, data architecture, APIs/integration, modern engineering practices).
• Exceptional communication and executive stakeholder management skills.

• Background in HR Tech, talent, consulting, or professional services.
• Experience with LLMs, generative AI platforms, orchestration agents, and applied machine learning.
• Advanced degree in Computer Science, AI, Data Engineering, or related technical field.

• United Kingdom (London or surrounding regions)

We are proud to be an Equal Opportunity Employer, committed to equity, equal opportunity, inclusion, and diversity.