Engineering Manager - Consumer Intelligence & Engagement

Organisation and Role

Role Responsibilities

• Enable scalable, reliable, reusable services for personalization, recommendations, and consumer engagement.
• Drive experimentation and data-driven decision-making to improve consumer experiences.
• Plan and execute team objectives and key results with transparent reporting.
• Own sprint execution, delivery, capacity, dependencies, and risks.
• Partner with Product Owners, Data Engineering, Tech Leads, and peer teams.
• Drive engineering quality, operational discipline, reliability, security, and continuous improvement.
• Coach engineers through feedback, mentoring, performance management, and career development.
• Build a culture of ownership, accountability, collaboration, and learning.
• Use engineering metrics to improve productivity, quality, and delivery predictability.
• Adopt AI-assisted engineering practices and automation across software delivery.
• Support hiring, staffing, onboarding, talent development, and succession planning.
• Manage delivery partners and vendors where applicable.

Your Talent

• At least 10 years of software engineering experience, including engineering team leadership in an agile environment.
• At least 3 years of people leadership experience.
• Experience with roadmap execution, delivery planning, dependencies, and stakeholder engagement.
• Experience with consumer data, behavioral signals, and event-driven architectures.
• Familiarity with personalization, recommendations, consumer intelligence, experimentation, search, or decisioning platforms.
• Experience hiring, mentoring, developing, and retaining high-performing engineering teams.
• Understanding of architecture, code quality, automated testing, CI/CD, and AI-assisted development.
• Strong communication, collaboration, decision-making, and organizational leadership skills.
• Experience driving quality, operational excellence, reliability, security, and continuous improvement.
• Experience with Agile tools such as Jira and Confluence or equivalents.
• Ability to use engineering, delivery, and operational metrics to improve effectiveness.
• Experience with coding agents, LLMs, or AI-assisted engineering tools is advantageous.

About PUMA