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Director of Data, ML & AI Engineering

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Collinson

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Location:
United Kingdom , London

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As Director of Data, ML & AI Engineering, you will lead the design, delivery, and evolution of Collinson’s enterprise data and AI engineering platforms. Reporting to the VP of Platform Ecosystem, you will shape the technical foundations that empower analytics, data science, and AI capabilities across the organisation. You will ensure Collinson’s data, ML, and AI platforms are reliable, scalable, secure, and cost-efficient, enabling teams to move from insight to production with speed and confidence. This role blends strategic vision with operational excellence, acting as a catalyst for innovation across the business.

Job Responsibility:

  • Lead the design and evolution of enterprise-grade data, ML, and AI engineering platforms, covering ingestion, transformation, feature management, model pipelines, and deployment
  • Ensure platforms are resilient, scalable, and production-ready to support both analytics and AI workloads
  • Balance continuous innovation with operational reliability, service continuity, and business value
  • Lead multiple engineering squads across data, platform, ML, and AI engineering disciplines
  • Establish clear engineering standards, ownership models, and accountability frameworks
  • Embed modern delivery practices such as DevOps, DataOps, MLOps, and AIOps to improve reliability and speed
  • Champion operational excellence, predictable delivery, and effective incident management
  • Partner with the VP of Analytics and Head of Innovation & AI to align platform capabilities with insight delivery, experimentation, and AI productisation
  • Provide high-quality, governed, production-ready data products and shared tools that empower analytics and AI teams
  • Accelerate time to value through automation, reusable patterns, and scalable platform abstractions
  • Own and optimise platform total cost of ownership (TCO), driving transparency and sustainable scaling
  • Embed security, privacy, and governance controls into platform design in partnership with Data Governance, Security, and Assurance teams
  • Ensure compliance with internal standards and external regulatory or client requirements
  • Deliver consistent, reliable group-wide data and AI platform services that balance shared capability with local flexibility
  • Build trusted relationships with stakeholders including Analytics, Innovation & AI, Cloud, Security, and Operating Company technology leaders
  • Collaborate with the VP of Platform Ecosystem to align data and AI platforms with broader integration and ecosystem strategy
  • Manage strategic vendors and partners supporting platform delivery and operations
  • Build and retain inclusive, high-performing engineering teams with strong technical expertise and clear accountability
  • Coach and develop emerging leaders across data, ML, and AI engineering
  • Foster a culture that values ownership, quality, learning, and continuous improvement

Requirements:

  • Senior leadership experience across data, platform, ML, and/or AI engineering in enterprise or federated environments
  • Deep understanding of modern cloud-native data platforms, large-scale distributed systems, and emerging data technologies
  • Proven experience delivering and evolving enterprise-scale data and AI platforms from inception to production
  • Hands-on knowledge of ML/AI operationalisation, including pipelines, lifecycle management, and experimentation frameworks
  • Demonstrated capability managing cost, risk, security, and compliance at scale
  • Strong people leadership and team development experience, promoting inclusion, clarity, and accountability
  • Ability to translate complex technical concepts into business impact with senior stakeholders
  • A collaborative, adaptive leadership style that encourages openness, trust, and curiosity

Additional Information:

Job Posted:
February 17, 2026

Work Type:
Hybrid work
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