About the Role:
You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.
The Engineering Manager is accountable for engineering delivery, roadmap execution, operational excellence, and engineering team development. Partnering with Product Owners, Data Engineering & Analytics, Tech Leads, and peer engineering teams, you will enable predictable delivery, grow engineering talent, and build a high-performing culture focused on ownership, accountability, and continuous improvement.
- Enable delivery of scalable, reliable, and reusable services that power personalisation, recommendations, and consumer engagement experiences.Drive adoption of experimentation and data-driven decision making to
continuously improve consumer experiences. - Drive planning and execution against team objectives and key results (OKRs), ensuring alignment, accountability and transparent reporting.
- Own sprint execution, delivery planning, capacity management, dependency management, and risk management.
- Partner with Product Owners, Data Engineering and Tech Leads to deliver business outcomes.
- Drive engineering excellence through strong development practices, quality standards, operational discipline and continuous improvement.
- Coach engineers through regular feedback, mentoring, performance management, and career development.
- Build a high-performing engineering culture focused on ownership, accountability, collaboration, and learning.
- Establish effective engineering metrics and use data to improve team productivity, quality, and delivery predictability.
- Drive adoption of AI-assisted engineering practices and automation to improve productivity, quality, and delivery efficiency.
- Identify opportunities to leverage AI across software development, testing, documentation, knowledge management and onboarding.
- Collaborate with engineering leadership on hiring, staffing, onboarding, talent development, and succession planning.
- Manage delivery partners and vendors where applicable and ensure alignment with team objectives.
Your talent
- 10+ years of software engineering experience, with experience leading engineering teams in an agile delivery environment.
- 3+ years of people leadership experience.
- Strong experience leading roadmap execution, delivery planning, dependency management, and stakeholder engagement.
- Experience working with consumer data, behavioural signals, and event-driven architectures.
- Familiarity with personalisation, recommendations, consumer intelligence, experimentation, search, or decisioning platforms.
- Strong people leadership skills with experience in hiring, mentoring, developing, and retaining high-performing engineering teams.
- Strong understanding of modern software engineering practices including software architecture & engineering principles, code quality, automated testing, CI/CD, and AI-assisted development.Strong communication, collaboration, decision-making, and organisational leadership skills.
- Experience driving engineering quality, operational excellence, reliability, security, and continuous improvement.
- Experience working in Agile delivery environments using tools such as Jira & Confluence or equivalent.
- A data-driven mindset with the ability to use engineering, delivery, and operational metrics to improve team effectiveness and predictability.
- Experience leveraging coding agents, LLMs, and AI-assisted engineering tools to improve software delivery and team productivity will be a strong advantage.
Experience working with personalisation, recommendation, experimentation, search, or AIpowered
consumer products will be a strong advantage