VP of Technology – Platform

Job not on LinkedIn

🔥 59 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🔴 Lead

👔 Vice President

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

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Digital Science

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🔬 Science

📚 Education

🏢 Enterprise

Science • Education • Enterprise

Digital Science is a company dedicated to enhancing the research lifecycle through innovative technology solutions. They aim to make research processes more efficient, data more effective, and collaboration more seamless, thus driving progress in academic and industry settings. Their product portfolio includes services such as Altmetric, Dimensions, Figshare, Overleaf, and more, which support various research stages from data management to publication. They focus on advancing open and responsible research while maintaining partnerships across academic, governmental, and industrial sectors. Digital Science actively contributes to the evolution of open access and research integrity standards.

📋 Description

• Define and own engineering best practice across the Digital Science group • Design and lead implementation of a single Target Operating Model for engineering • Agree and deliver an incremental platform roadmap with product leadership • Lead platform adoption, reduce duplicated capability and retire legacy components • Deliver a unified data platform underpinning Digital Science applications • Consolidate ingestion implementations and establish reusable enrichment capabilities • Deliver APIs, MCP and bulk data access with entitlements, usage tracking and access control • Build quality, provenance, lineage, observability and change control into data pipelines • Manage rights, licensing and stewardship for licensed, public and customer-provided data • Support private and customer-hosted deployment models • Maintain dependable revenue-critical data releases and legacy pipelines during transition • Define data platform measures for freshness, processing time, quality, cost and adoption • Set strategy and governance for shared platform services • Build or integrate authentication, authorisation, tenancy, entitlements, SSO, logging and licensing services • Lead architecture practice, review processes and reusable engineering patterns • Establish standards for DevOps, infrastructure as code, deployment, release automation, monitoring, observability, incident management, security, compliance, QA, FinOps, availability, backup and recovery • Work with the Chief AI Officer to deliver the AI plan and transition engineering to an AI-first SDLC

🎯 Requirements

• Senior engineering leadership experience defining and delivering platform strategy across a fragmented, acquisition-built portfolio • Proven delivery of a large-scale shared data platform covering ingestion, processing, enrichment and delivery • Experience with data quality, lineage and governance • Experience building shared platform services including identity and access, authorisation, tenancy, entitlements, observability and licensing • Experience designing and rolling out engineering operating models and standards across multiple teams, sites or businesses • Experience leading change in long-established teams • Experience building and developing senior teams across architecture, data, infrastructure, quality and engineering • Strong grounding in cloud infrastructure, DevOps, infrastructure as code, CI/CD, security and resilience • Sound build/buy/integrate judgement and pragmatic trade-off decision-making • Ability to deliver progressively without putting current customer commitments at risk • Ability to influence product leaders, peers and executives and communicate with technical and non-technical audiences • Desirable: experience in data-, content- or research-intensive businesses, licensed data and rights, private or customer-hosted deployments, regulated environments, AI-enabled engineering, FinOps, cloud cost management, M&A integration and platform consolidation • Curiosity about AI and openness to experiment and adapt

🏖️ Benefits

• Investment in, nurturing and support of innovative businesses and technologies that make research more open, efficient and effective • Equal opportunity employment • Inclusive workplace culture where individuals feel valued and supported • Diverse and collaborative working environment • Fully remote work

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