VP Engineering - Data Products

Senior Engineering Leader

We are looking for a senior engineering leader to own the technical roadmap for our enterprise-scale data and AI infrastructure. You will lead a multi-disciplinary engineering organization, set data platform and cloud architecture direction, and act as the bridge between hands-on solution design and commercial/vendor accountability. This role combines strong architectural credibility with people leadership, governance ownership, and stakeholder management across global clients.

• Lead, grow and develop a multi-disciplinary engineering organization, providing mentorship to Development Leads and engineers, ensuring team composition is adequate, and hiring to fill gaps.
• Set and own the technical roadmap for the data platform, defining reference architectures and design patterns (e.g. medallion/layered architectures) that scale across multiple business units and data domains.
• Provide guidance, coaching and mentorship in modern data engineering practices, web application development, and best practices for diagnostics, debugging, testing, deploying, and troubleshooting.
• Work with Product and Engineering teams to scope, plan and estimate the technical roadmap, aligning it to broader business goals and helping to forecast delivery timescales.
• Evaluate solution options against business requirements and organizational standards; champion rapid prototyping and proof-of-concept work to validate designs and de-risk delivery.
• Provide architectural oversight and mentorship to architects and engineers; maintain high standards of design documentation and contribute to the evolution of architectural reference models.
• Foster constructive debates between Product, Engineering and UX teams to create scalable, client-focused solutions that solve business problems with software in the shortest sustainable lead-time.
• Establish and run governance frameworks for applications and data products, including certification and stewardship processes; ensure compliance with security, data privacy, and regulatory standards.
• Own platform security posture: access control, secrets management, naming/tagging conventions, and certification of new data products. Lead the triage and remediation of platform security or data incidents.
• Build visibility into cloud and compute cost drivers; drive Fin Ops practices to optimize spend across environments. Design repeatable onboarding processes for new tools, analysts, and integrations.
• Manage vendor relationships, procurement processes and commercial contract negotiations, ensuring legal and compliance requirements are met. Provide technical oversight of 3rd party supplier partnerships.
• Lead platform modernization and migration programs, including planning, sequencing, and risk management for large-scale technology transitions.
• Stay up to date with emerging technologies and industry trends, assessing their potential impact and benefit to the overall business strategy, particularly AI/agentic capabilities and data infrastructure innovations.

• Proven experience leading data engineering or data platform teams at a senior/head level, ideally within a large or matrixed organization.
• Industry experience working with Data platforms is essential, with strong background in dimensional data modelling, data pipeline development and data engineering in support of web applications.
• Strong hands-on background in modern cloud data platforms (e.g. Databricks, Snowflake, or equivalent) and major cloud providers (Azure, AWS, or GCP).
• Solid understanding of data governance, access control, and security practices in cloud environments.
• Experience with large-scale ETL/ELT design and migration programs.
• Demonstrated experience with cloud cost management and Fin Ops practices.
• Experience managing vendor contracts, procurement, and commercial negotiations.
• Strong stakeholder management skills with the ability to communicate effectively across technical and non-technical audiences and global/matrixed teams.
• A structured, specification-driven approach to requirements and delivery, with a preference for disciplined, release-oriented delivery.
• Able to demonstrate evidence of…