VodafoneThree - Future Insights Lead at Three UK

Newbury, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

28 Jul, 26

Salary

0.0

Posted On

29 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Platform Delivery, GCP, Snowflake, SQL, Python, Data Modeling, Predictive Analytics, Data Science Workflows, Team Leadership, Stakeholder Management, Data Pipelines, Cloud Infrastructure, Data Governance, Automation

Industry

Telecommunications

Description

Company Description 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 Job Description 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 Need to know 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. In collaboration with our Talent, Diversity & Inclusion teams and our employee-led DEI Networks, we identified a range of reasonable adjustments to help you feel comfortable and perform at your best self during the interview process. If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, a sign language interpreter, or assistive technology, please contact your recruiter directly or email [email protected] for guidance. We use AI in different parts of our business to boost innovation, improve efficiency, and create new opportunities. We know many candidates use AI to fine-tune their CVs or prepare for interviews, but what we really care about is your unique experiences and achievements. During the interview, we want you to rely on your own knowledge and skills to show us who you really are—your personality, creativity, and abilities. Above all, we’re looking for authenticity and can’t wait to get to know the real you. #VodafoneThree V3 Requisition Grade: 11

Responsibilities

The Future Insights Lead will oversee a multidisciplinary team to build and maintain a world-class digital data foundation. They are responsible for managing the full lifecycle of digital dataset integration into GCP and Snowflake while ensuring scalable design and high-quality data delivery.