Executive Manager - Retail Data Engineering

Quantium’s Retail business uses advanced analytics and AI to help retailers understand customer behaviour, optimise operations, and unlock sales growth through smarter decision-making.

Behind every insight is production-grade data infrastructure. As the Executive Manager for Retail Data Engineering, you will lead the teams responsible for building and evolving the pipelines and platforms that power retail analytics and AI in real-world environments.

This is a leadership role anchored in real engineering impact. You will not be removed from the technical context, but your primary focus will be building strong teams, setting direction, and ensuring delivery outcomes align with Retail’s commercial priorities. It suits someone who enjoys guiding engineers, shaping systems at a strategic level, and operating where data, AI and business needs intersect.

How will you make an impact?

• Lead high-performing data engineering teams
  Lead distributed data engineering squads, coaching engineering leads and creating an environment of accountability, clarity and continuous improvement.
• Build resilient, scalable data systems
  Oversee the design and evolution of data pipelines and production data platforms that support advanced analytics and AI solutions used by major retailers.
• Align engineering to business outcomes
  Translate commercial objectives into clear engineering priorities, ensuring the team’s work drives measurable improvements in efficiency, speed and impact.
• Lift engineering standards
  Strengthen planning, execution and operational discipline across squads. Bring structure where needed, without adding unnecessary process.
• Drive cross-functional execution
  Partner closely with AI, platform and application engineering leaders to ensure solutions are cohesive end-to-end, not fragmented by domain.
• Act as the accountable domain leader
  Be the recognised point of leadership for data engineering within Retail, proactively managing risks, delivery health and stakeholder confidence.

The superpowers you will bring to the team

• Experience leading production data engineering teams
  You’ve led teams building and operating business-critical data systems, with strong instincts around reliability, scalability and operational discipline.
• Ability to coach and grow engineering leads
  You strengthen the layer beneath you. You’ve supported leads in developing leadership capability, not just technical output.
• Solid grasp of modern cloud data architecture
  You can engage me