VodafoneThree - Future Insights Lead

We’re creating something special. We are joining forces to create the biggest mobile network provider in the UK. Through our collective strengths and talents, we will transform customers’ experience and create a best-in-class network for coverage, connectivity, and reliability, delivering greater value and more choice for the nation than ever before. There are very few moments in our careers where we can feel the ground shifting beneath us, where we can sense that something bigger than we’ve known before is taking shape. We’re not just building a company. We’re going to build a culture, a legacy and a future to be proud of. This will require remarkable leadership and together we can set the standard in the industry and beyond for both customer and employee experience, in what it is a career-defining opportunity.

The Digital Data Manager (Future Insights) plays a critical role in building a world‑class digital data foundation. Accountable for a designated domain (brand, platform, capability area or journey) and oversee a team of Data Specialists responsible for enabling accurate, consistent, scalable and future‑ready digital data across all analytics, insight, and optimisation platforms.

• Lead and develop a multidisciplinary team of data engineers, analytics engineers and data science to build the organisation’s next generation of digital analytical capabilities.
• Prioritise and manage the onboarding of new datasets based on strategic value, ensuring they enable advanced analytics, predictive insights, and AI‑driven solutions.
• Translate business and analytical needs into structured onboarding plans that accelerate the delivery of model‑ready and insight‑ready data.
• Oversee the full lifecycle of digital dataset integration into GCP and Snowflake, ensuring scalable design and alignment with analytical and machine‑learning requirements.
• Deliver high‑quality datasets that support predictive modelling, real‑time insights, and advanced analytical use cases.
• Enhance onboarding efficiency by identifying process gaps and implementing automation and standardisation where beneficial.
• Establish scalable ingestion patterns across APIs, batch processes, native connectors, and warehouse extracts, optimised for analytical workloads.
• Build robust data pipelines with embedded validation and quality controls to ensure reliable inputs for analytics and modelling.
• Work with Big Data and engineering teams to ensure all pipelines meet GCP / Snowflake best practices, governance expectations, and security standards.
• Guide new data capabilities and requirements through internal security and privacy assessments to ensure compliant delivery.
• Create reusable frameworks, patterns, and standards that expand self‑serve analytics and accelerate the delivery of future analytical products.

Qualifications

• Extensive experience in data engineering or data platform delivery roles, with a strong track record of onboarding and integrating new data sources.
• Proven experience delivering data solutions in cloud environments such as GCP or Snowflake.
• Strong hands‑on expertise in SQL and Python, with the ability to guide and review production‑quality code and data pipelines.
• Experience designing and implementing data ingestion patterns within cloud infrastructure.
• Solid understanding of data modelling techniques for analytical and reporting use cases.
• Experience working with predictive analytics, including preparing model‑ready datasets and supporting data science workflows.
• Experience leading and mentoring teams, providing technical leadership, and establishing engineering best practices.
• Strong stakeholder management skills, with the ability to translate business requirements into scalable data delivery solutions.

Additional Information

We are regulated by the Financial Conduct Authority and all offers of employment for this role are subject to background checks, including criminal (DBS) and financial checks to meet the regulators standards. We believe everyone should have the opportunity to interview for a role that matches their skills.