Head of Data Platforms - (15 month FTC)

moonpig
London
On-site
Contract
Posted 1 day ago
Data

Job Description

Head of Data Platforms (15 Month Fixed Term Contract – Maternity Cover) | 📍London – Hybrid (2 days per week in the office) | 💰Competitive Salary + Benefits

We're looking for a Head of Data Platforms to join Moonpig on a 15-month Fixed Term Contract. 

Based in London with hybrid working (2 days per week in the office), you'll lead our Data Platform team through an exciting period of growth and strategic delivery. 

This is a leadership role focused on our high performing team, delivery and operational excellence. You'll lead engineering managers, ICs and teams, shape the Data Platform roadmap, oversee strategic technology partners and vendors, and ensure our platform continues to operate reliably at scale. While a technical background is important, this isn't a hands on architecture role.

Working as part of the Data Leadership Team, you'll partner closely with Engineering, Product, Commercial teams and strategic technology partners to deliver a scalable, reliable data platform that enables better decision-making across the business.

We're looking to move fast so you must be available to join by mid-late September 2026. 

Responsibilities

Key Responsibilities:

  • Lead multiple engineering teams across the Data Platform organisation, supporting managers and building an inclusive, high-performing culture.
  • Deliver the Data Platform roadmap, balancing strategic objectives with changing business priorities.
  • Lead complex cross-functional programmes across Data and Technology, managing risks, dependencies and successful delivery.
  • Drive quarterly planning, governance and operational oversight across the Data Platform portfolio.
  • Build trusted relationships with senior stakeholders across Engineering, Product, Commercial and Data teams.
  • Own strategic vendor relationships, supplier performance, commercial governance and contract oversight.
  • Partner with Procurement and Finance to maximise value from technology investments.
  • Ensure the reliability, scalability and operational health of the Data Platform.
  • Maintain Technology Risk ownership and support operational readiness during peak trading periods.
  • Champion engineering excellence through continuous improvement, governance and sustainable platform operations.
  • Translate organisational strategy into clear delivery priorities and operational roadmaps.
  • Improve engineering processes, ways of working and organisational effectiveness.
  • Support organisational design, hiring, succession planning and leadership development.
  • Coach Engineering Managers and help develop high-performing teams.
  • Requirements

    About you:

  • Experience leading Data Engineering, Platform Engineering or Data Platform teams
  • We'd love to hear from experienced Senior Data Engineering Managers, Heads of Data Engineering, Heads of Platform Engineering or similar technology leaders looking for their next challenge.
  • Proven experience leading managers and building high-performing engineering teams.
  • Strong programme delivery experience, with a track record of delivering strategic roadmaps across multiple teams.
  • Excellent stakeholder management skills, with the ability to influence technical and non-technical leaders.
  • Experience managing technology vendors, supplier relationships and commercial governance.
  • Comfortable balancing operational delivery with long-term planning and organisational priorities.
  • Strong understanding of engineering operations, governance and platform reliability.
  • A background in Data Engineering, Platform Engineering or Data Platforms, with the ability to work effectively alongside technical specialists. Deep technical architecture expertise isn't essential.
  • Confident leading through ambiguity, bringing clarity and direction in evolving environments.
  • Experience with cloud data platforms such as Snowflake, dbt and AWS would be beneficial. 
  • Experience working within a high-growth technology business or exposure to AI and Machine Learning platforms would be an advantage.
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