Senior Engineering Manager, Data Platform

Overview

• Delivering a world-class Data & AI strategy that aligns our platform evolution with ambitious company growth goals.
• Leading and scaling high-performing Data Engineering teams, establishing the rhythms and discipline needed for elite delivery and accountability.
• Owning the data platform and architecture, ensuring our AWS-based foundations are robust, secure, and ready for the next stage of our growth.
• Building the foundations for AI in production, including reusable data products, reliable pipelines, and governed access patterns.
• Partnering with senior leaders across Product, Tech, and Commercial to unlock opportunities in machine learning, automation, and advanced analytics.
• Driving a culture of data-led decision-making, ensuring every data initiative is connected to real-world customer and commercial outcomes.

Requirements

• Deep experience leading data organisations, specifically scaling data engineering teams and modern platforms in fast-paced digital businesses.
• A collaborative, roll-up-your-sleeves attitude with the technical depth to guide strategic architecture decisions and build credibility with engineers.
• Strong communication skills and the ability to translate complex data roadmaps into clear business value for non-technical stakeholders.
• Confidence with modern data stacks (AWS focus), data governance, and the infrastructure required to run AI and ML at scale.

ATS Optimization Keywords

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Hard Skills

• data engineering
• data architecture
• machine learning
• automation
• advanced analytics
• data governance
• data pipelines
• data products
• AWS
• AI

Soft Skills

• leadership
• collaboration
• communication
• strategic thinking
• accountability
• problem-solving
• credibility building
• data-driven decision making
• adaptability
• team scaling