Data Strategy, Science & Engineering Lead Job at Vodafone (Newbury)

Job Description

MVNx is a strategic platform capability enabling Vodafone to serve global MVNO, wholesale and partner customers at scale. Delivering this requires an end‑to‑end, data‑led approach across customer journeys, IT systems and network domains. The MVNx Data Science & Engineering Lead is a critical senior leadership role, responsible for establishing data as a strategic product and trusted asset, supporting MVNx’s growth ambitions while ensuring regulatory assurance and global customer confidence. The MVNx Data Science & Engineering Lead is accountable for defining, governing and delivering the end‑to‑end data, analytics, architecture and AI capability across MVNx. Operating at enterprise scale, the role spans Commercial data, Digital channels, BSS/IT platforms and Network domains, ensuring data supports product strategy, customer experience, operational performance and regulatory compliance. Working in close partnership with the Head of Product, the role will define the MVNx data strategy, data governance and embed data‑driven decision‑making across products and platforms for global customers.

Job Responsibility

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

Requirements

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 with senior stakeholders and global customers, able to influence at executive level and operate in complex, multi-stakeholder environments

What we offer

Discretionary yearly bonus: 20%
Company car: company funded car of £580 per month + private fuel or cash alternative of £630 per month
Annual leave: 28 days + bank holidays + the opportunity to buy/sell/carry over 5 days/year
Charity days: 5 days/year
Maternity/adoption leave: 52 weeks out of which the first 13 weeks are fully paid followed by 26 weeks of half pay and 6 months - working 4 days, getting paid 5
Paternity leave: 16 weeks fully paid
Private medical family plan: fully paid
Private pension: You can contribute up to 5% of your basic pay with 2:1 matching from Vodafone up to 10%
Access to: private dental, free health assessments, share save scheme
Additional discounts: Vodafone retail, gym, cinema, cycle to work, season ticket loan

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Data Strategy, Science & Engineering Lead

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