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Vodafone

Data Strategy, Science & Engineering Lead

Newbury
Posted 2 days ago
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Data Strategy, Science & Engineering Lead

MVNx Data Science & Engineering Lead – Vodafone


Role Purpose

MVNx is a strategic platform capability enabling Vodafone to serve global MVNO, wholesale, and partner customers at scale. This end-to-end, data-led approach spans 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 growth ambitions
  • Ensuring regulatory assurance and global customer confidence

The role defines, governs, and delivers end-to-end data, analytics, architecture, and AI capability across MVNx, operating at enterprise scale. It spans Commercial data, Digital channels, BSS/IT platforms, and Network domains, ensuring data supports:

  • Product strategy
  • Customer experience
  • Operational performance
  • Regulatory compliance

In partnership with the Head of Product, the incumbent will shape the MVNx data strategy, data governance, and embed data-driven decision-making across products and platforms for global customers.


What You’ll Do

Strategic Leadership & Vision

  • Define and own the MVNx data strategy in alignment with product, technology (IT & networks), and commercial objectives.
  • Position data, analytics, and AI as core drivers of product differentiation, scale, and growth.
  • Develop and maintain a clear, prioritised roadmap for data platforms, analytics, and AI capabilities.

Architecture & Data Operations

  • Own the end-to-end MVNx data architecture across digital channels, BSS/IT systems, and network domains in collaboration with IT and network architecture teams.
  • Ensure seamless data integration across customer journeys, BSS/IT, and network telemetry to enable insights, automation, and predictive capability at scale.
  • Define and govern enterprise standards for data platforms, pipelines, and analytics engineering.

Advanced Analytics & AI

  • Lead the delivery of advanced analytics and AI capabilities, from ideation to production.
  • Ensure all models and insights are production-grade, governed, monitored, and measured for impact.
  • Drive high-value AI and data use cases across:
    • Global customer experience
    • Product performance & monetisation
    • Network optimisation
    • Operational efficiency

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Compliance & Governance

  • Ensure MVNx data capabilities meet expectations for global customers operating across multiple jurisdictions.
  • Apply data sovereignty principles, including data residency, access, and processing constraints.
  • Maintain compliance with GDPR and regional data regulations across products and platforms.

Stakeholder Representation

  • Act as the senior data representative for 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 with 5+ years’ experience in Data Architecture, Data Science, and Data Engineering, operating within complex, enterprise-scale organisations.
  • Domain expertise (15+ years) in Analytics, Digital/IT, and Network/infrastructure data, with a strong understanding of interconnected domains.
  • Proven track record of delivering end-to-end data capabilities—from strategy to execution.
  • Experience designing and scaling modern, cloud-based data platforms, including knowledge of:
    • Leading technologies (e.g., GCP, BigQuery, Dataflow, Dataproc or equivalents).
    • Best-practice architectures (data lakes, lakehouses, streaming pipelines).
  • Strong grasp of real-time and event-driven architectures, including streaming, API-led integration, and data product thinking.
  • Strategic partnership with product leadership to shape data as a growth and CX enabler.
  • Expertise in defining and embedding data governance across multi-functional, cross-organisational boundaries.
  • In-depth knowledge of data sovereignty, GDPR, and regulatory frameworks, with the ability to translate requirements into operational models.
  • Proven experience leading high-performing analytics and data engineering teams, with outcomes directly supporting commercial success.
  • Credentiality and executive presence—able to influence stakeholders, global customers, and multi-disciplinary teams.

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Welcome Talent of All Backgrounds

Even if your experience doesn’t perfectly match every criterion, Vodafone encourages applications from diverse candidates. Your unique perspective may be perfectly suited to this role or another opportunity.


What’s in It for You

  • Discretionary bonus: 20% of annual salary
  • Company car:
    • Funded car valued at £580/month + private fuel allowance OR
    • Cash alternative of £630/month
  • Annual leave: 28 days + bank holidays, with an option to buy/sell/carry over 5 days/year.
  • Charity days: 5 days/year
  • Maternity/adoption leave:
    • 52 weeks total, with:
      • First 13 weeks fully paid.
      • Next 26 weeks at half pay.
      • Final 6 months working 4 days, paid for 5.
  • Paternity leave: 16 weeks fully paid
  • Private medical insurance: Fully funded family plan
  • Pension scheme:
    • Vodafone matches contributions at 2:1 up to 10% of basic pay (you contribute up to 5%).
  • Access to:
    • Private dental
    • Free health assessments
    • Share save scheme
  • Discounts:
    • Vodafone retail products
    • Gym, cinema, cycle-to-work schemes
    • Season ticket loan

Who We Are

A global telecom leader, Vodafone believes connectivity is a force for good. Through technology, we empower people, bridge divides, protect the planet, and help customers do the same—connecting everyone, everywhere.

Belonging at Vodafone is not abstract; it’s lived experience. Our global, diverse workforce thrives through support, inclusion, and equality. We actively work to increase diversity and ensure everyone feels safe, valued, and represented.

Accessibility Statement

If you require reasonable adjustments or an accessibility request during recruitment—such as extended assessment time or breaks—visit: 🔗 Vodafone Careers – Adjustments

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Skills

Data Strategy
Data Architecture
Data Science
Data Engineering
AI Capability
Data Governance
Cloud Data Platforms
GDPR Compliance
Data Sovereignty
Stakeholder Management
Advanced Analytics
BSS/IT Platforms
Network Telemetry
Event-Driven Architecture
API-led Integration
Product Strategy

Location

Newbury, England, United Kingdom

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