Data Strategy, Science & Engineering Lead

Skip to main contentCareersDashboardProfileEnglishJoin Talent NetworkSign InSingle PositionIf we can connect, we can create a better future. Join us.View All JobsHybridData Strategy, Science & Engineering LeadNewbury, United Kingdom This role is no longer accepting applicationsRequisition ID285128Date posted07/02/2026Join Us At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.What you’ll do Define and own the MVNx data strategy with the Head of Product, ensuring alignment with product, technology (IT and Networks) and commercial objectives, Establish data, analytics and AI as core enablers of MVNx product differentiation, scale and growth.Define and maintain a clear, prioritised roadmap covering data platforms, analytics and AI capabilities, Own the end‑to‑end MVNx data architecture across digital channels, BSS / IT systems and network domains, in close collaboration with IT and Networks architecture teams.Ensure seamless data integration across customer journeys, BSS / IT and network telemetry to enable insight, automation and predictive capability at scale. Set and govern enterprise standards for data platforms, pipelines and analytics engineering.Lead the delivery of advanced analytics and AI capabilities from ideation through to production. Ensure all models and insights are production‑grade, governed, monitored and measured for business impact.Drive high‑value data and AI use cases across global customer experience, product performance and monetisation, network optimisation and operational efficiency.Ensure MVNx data capabilities meet the expectations of global customers operating across multiple jurisdictions.Apply data sovereignty principles, including data residency, access and processing constraints, by design, Ensure compliance with GDPR and relevant regional data regulations across products and platforms.Act as a senior data representative with customers, partners and auditors where required, Hold end‑to‑end accountability for the MVNx data governance framework, including policies, standards and decision forums.Who you are Senior leadership (5+ years) across Data Architecture, Data Science, and Data Engineering, operating within complex, enterprise-scale organisations.Deep domain experience (15+ years) spanning Analytics, Digital & IT and Network / infrastructure data, with a strong understanding of how these domains interconnect.Proven delivery of end-to-end data capability, covering customer, IT, and network-adjacent domains, from strategy through to execution.Experience designing and scaling modern, cloud-based data platforms, including hands-on familiarity with leading technologies (e.g. GCP, BigQuery, Dataflow, Dataproc or equivalent), and adopting best-practice data architectures (e.g. data lakes, lakehouse, streaming pipelines).Strong understanding of real-time and event-driven data architectures, including streaming, API-led integration, and data product thinking to enable scalable, reusable capabilities.Strategic partnership with Product leadership, shaping data as a core enabler of product differentiation, commercial growth, and customer experience.Strong track record in defining and embedding data governance, successfully operating across multiple functions and organisational boundaries.Expert knowledge of data sovereignty, GDPR, and regulatory frameworks, with the ability to translate requirements into practical operating models.Experience leading high-performing analytics and data engineering teams, delivering insights and capabilities that directly support commercial outcomes.Credibility and presence...