
Head of Engineering
1 week ago
Position Summary
The Head of Engineering is responsible for leading the engineering function, setting technical direction, and ensuring delivery of high-quality, scalable software solutions. This includes defining and executing the organisation's AI strategy, embedding machine learning, automation, and data-driven decisioning into products and processes. The role bridges the gap between technical execution and business strategy, fostering collaboration between Developers, Business Analysts, and Product Managers to deliver customer-focused, innovative outcomes.
Leadership & Strategy- Define and communicate the engineering and AI vision in alignment with company objectives.
- Build, mentor, and lead a high-performing team of full-stack developers and AI/automation specialists.
- Establish engineering best practices, coding standards, and quality assurance processes, including responsible AI principles.
- Partner with Product Management and Business Analysts to ensure technical delivery balances business value with innovation opportunities.
- Own end-to-end delivery across multiple initiatives, including AI-driven projects.
- Maintain speed of delivery through agile methodologies, CI/CD, and modern DevOps practices.
- Integrate AI/ML models into core platforms, ensuring responsible usage and measurable business impact.
- Oversee prioritisation, resource allocation, and delivery timelines, balancing technical feasibility and business needs.
- Provide architectural guidance and hands-on leadership for full-stack systems and AI integrations.
- Evaluate and recommend technologies, frameworks, and AI platforms/tools (e.g., cloud AI services, ML frameworks).
- Ensure system scalability, security, compliance, and ethical AI adoption.
- Monitor and manage technical debt, striking a balance between innovation and maintainability.
- Mentor developers, fostering professional growth and cross-skilling.
- Build a collaborative, inclusive, and innovative engineering culture.
- Partner with HR/Leadership to attract and retain top technical and AI talent.
Skills & Experience
Essential- Proven experience leading engineering teams in a Head of Engineering, Engineering Manager, or equivalent role.
- Strong technical background in full-stack development (e.g., JavaScript/TypeScript, , Go, PHP, React, cloud platforms).
- Hands-on experience with AI/ML strategy, implementation, or integration (e.g., natural language processing, predictive analytics, recommendation systems, generative AI).
- Experience managing cross-functional delivery with BAs and PMs.
- Expertise in Agile/Scrum
- Strong communication and influencing skills across technical and non-technical stakeholders.
- Experience scaling engineering and AI teams in a high-growth environment.
- Familiarity with MLOps, data pipelines, and AI model lifecycle management.
- Knowledge of responsible AI practices, data security, and compliance frameworks.
- Exposure to enterprise SaaS, automation, and digital transformation projects.
- Expertise in CI/CD pipelines and cloud-native architectures.
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