VP of Platform & Data Engineering Transformation

Digital Science; Greater London; On-site; GBP 120,000 - 190,000; Full time

Job summary

Digital Science is seeking a VP of Technology, Platform to unite a fragmented portfolio into a single data platform and shared services. You will steer engineering best practices, define a future operating model, and drive the AI-first software lifecycle across the group.

You will lead through multiple teams, align product leadership with a clear platform roadmap, and ensure secure, compliant data delivery across internal and customer-facing products.

Qualifications

• Senior engineering leader with a track record of defining and delivering platform strategy that unifies a fragmented, acquisition-built portfolio into an interoperable, service-oriented ecosystem.
• Proven delivery of a large-scale shared data platform (ingestion, processing, enrichment and delivery), including data quality, lineage and governance.
• Experience building shared platform services such as identity and access, authorisation, tenancy and entitlements, observability and licensing.

Responsibilities

• Define and own engineering best practice across the group, covering architecture, data architecture, quality, infrastructure and FinOps.
• Design a single, consistent Target Operating Model for all engineering, and lead the transformation of the current operating model onto it.
• Agree an incremental platform roadmap with product leadership, with visible dependencies, early wins and clear progress measures.
• Lead adoption as well as build: agree integration paths with product teams, reduce duplicated capability and retire legacy components.
• Lead the rollout of an AI-first operating model across engineering, setting standards for AI-enabled development practices.

Skills

Leadership

Platform strategy

Data platform

Engineering best practices

AI-enabled SDLC

DevOps

Cloud infrastructure

Architecture

Job description

Digital Science is seeking a VP of Technology, Platform to unite a fragmented portfolio into a single data platform and shared services. You will steer engineering best practices, define a future operating model, and drive the AI-first software lifecycle across the group.

You will lead through multiple teams, align product leadership with a clear platform roadmap, and ensure secure, compliant data delivery across internal and customer-facing products.