Head of Engineering

United KingdomFull-timePosted Jun 15, 2026

Head of Software Engineering, ELS

Job Family: Technology

Job Category: Engineering 
Career Architecture Role: Software Engineer 
 

 

Role Summary

Leads a multidisciplinary Innovation Engineering capability, accountable for translating emerging technologies into scalable, enterprise-ready products and platforms. Sets strategic direction, prioritization, and execution standards across innovation squads, ensuring alignment with business objectives, product strategy, and enterprise architecture.

Drives technical excellence, accelerates experimentation-to-production cycles, and builds organizational capability across engineering, data science, and AI—delivering measurable commercial and operational impact.

 

Key Responsibilities 

1. Strategic & Functional Leadership 

  • Define and execute the innovation engineering strategy, aligning with ELS business priorities, product roadmaps, and enterprise technology standards

  • Set multi-quarter priorities, investment focus, and capacity planning across innovation initiatives

  • Act as a senior technical authority across innovation domains (AI, platforms, emerging tech), influencing enterprise-wide direction

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2. Innovation Delivery & Execution 

  • Lead delivery of complex, cross-functional innovation programmes, from concept through to scaled deployment

  • Drive experimentation, prototyping, and MVP development, accelerating time-to-value and adoption

  • Ensure solutions are scalable, secure, and production-grade, aligned with enterprise architecture and governance

  •  

3. Team Leadership & Capability Building 

  • Build, lead, and develop a high-performing, cross-functional team (engineering, data science, AI, and specialists)

  • Foster a culture of collaboration, learning, and continuous improvement, strengthening innovation capability across squads

  • Coach and develop senior technical leaders, creating succession pipelines and future capability depth

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4. Technical Excellence & Standards

  • Establish and uphold engineering best practices, including architecture, DevOps, CI/CD, and platform reliability

  • Drive improvements in release velocity, quality, and defect reduction through modern engineering practices

  • Ensure alignment with security, data governance, and compliance standards

 

5. Cross-Functional Influence & Stakeholder Alignment

  • Partner closely with Product, Platform, and Business leadership to prioritise and deliver high-impact innovation outcomes

  • Influence decision-making at senior levels, translating technical possibilities into commercial value propositions

  • Represent Innovation Engineering in executive and cross-functional forums

 

Skills & Competencies

Leadership & Collaboration

  • Collaboration (Advanced): Influences and aligns multiple senior stakeholders across Engineering, Product, and Business

  • People Leadership (Advanced): Builds inclusive, high-performing teams and develops future leaders

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Technical Expertise

  • Software Design & Architecture (Advanced)

  • Cloud Computing, API & Platform Engineering (Advanced)

  • Deep understanding of scalable, distributed systems and enterprise integration 
    Innovation & Problem Solving

  • Innovation & Strategic Thinking (Advanced): Applies emerging technologies (AI, automation, data) to business problems

  • Problem Solving (Advanced): Navigates ambiguity and drives breakthrough solutions

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Risk, Security & Compliance

  • Data Security & Information Security (Advanced)

  • Strong understanding of enterprise governance and regulatory frameworks

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Future-Focused Capabilities

  • Artificial Intelligence & AI Agents (Advanced)

  • Learning Agility & Adaptability (Advanced): Continuously evolves capability in line with emerging technologies

 

Qualifications & Experience

  • Significant experience leading software engineering and innovation teams in complex enterprise environments

  • Proven track record delivering large-scale, cross-functional technical programmes

  • Deep expertise in software architecture, cloud-native systems, and emerging technologies (AI/ML platforms)

  • Experience influencing and operating at senior leadership / executive level

  • Demonstrated ability to build and scale multidisciplinary technical teams globally

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