At a Glance
- Tasks: Lead the lifecycle of enterprise data products and drive AI adoption across the organisation.
- Company: Join VOIS, Vodafone's innovative arm, transforming the telco industry with intelligent solutions.
- Benefits: Gain exposure to global markets, ownership of strategic platforms, and a culture of innovation.
- Other info: Opportunity for continuous learning and collaboration with diverse teams.
- Why this job: Make a significant impact on data and AI transformation programmes in a dynamic environment.
- Qualifications: Experience in data product management and strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
Who We Are
VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. We are the largest shared services organisation in the global telco industry with 30,000 FTE, and our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient.
About This Role
We are seeking a strategic leader to drive the end-to-end lifecycle of enterprise data products and AI-ready data services. This role focuses on transforming custom analytics solutions into scalable, production-grade products while enabling faster adoption of AI across the organisation. The individual will provide technical leadership across advanced analytics platforms, marketing technology ecosystems, and data enablement frameworks, ensuring solutions are scalable, reusable, and aligned with business growth objectives.
What You’ll Do
- Lead the full lifecycle management of enterprise data products, from concept to scalable, multi-market deployment
- Define and implement product roadmaps focused on scalability, maturity, and cross-market adoption
- Develop and manage reusable Data Enablers, including templates and automated data preparation services to accelerate AI initiatives
- Oversee mission‑critical platforms including web and app analytics solutions, SDK lifecycle management, and marketing technology ecosystems
- Drive integration and optimisation of Martech platforms (e.g., Adobe, Tealium, consent and privacy tools)
- Collaborate with Reporting and Analytics teams to productise high‑value custom solutions
- Embed AI and automation across data product lifecycles to improve efficiency and time‑to‑market
- Ensure platform stability, performance, and continuous delivery for analytics and marketing tool stacks
- Lead and develop a distributed, cross‑functional team delivering large‑scale data initiatives
Who You Are
- Extensive experience in data product management, platform engineering, or digital analytics leadership
- Proven ability to lead diverse, multi‑location teams with varied technical expertise
- Strong product‑focused mindset with experience in scaling solutions into standardised products
- Deep knowledge of analytics platforms, SDK management, and marketing technology ecosystems
- Expertise in preparing data for AI use cases and defining reusable data structures
- Experience managing large‑scale data product roadmaps across multiple business entities
- Strong understanding of data governance, privacy, and regulatory compliance frameworks
- Degree in Computer Science, Data Science, or a related field
What's In It For You
- Opportunity to lead large‑scale, high‑impact data and AI transformation programmes
- Exposure to global markets and collaboration across diverse teams
- Ownership of strategic platforms and enterprise‑wide data products
- Environment that encourages innovation, experimentation, and continuous learning
- Leadership responsibility with significant organisational influence and visibility
What Skills You Will Learn
- Advanced data product lifecycle management in global enterprise settings
- Scalable AI data architecture and enablement strategies
- End‑to‑end governance of complex Martech and analytics ecosystems
Sr. Manager Data Products and Data Enabler for AI "All VOIS locations" employer: VOIS
Vodafone is an exceptional employer, offering a dynamic and collaborative work environment in London, Paddington, where innovation and continuous improvement are at the forefront of our mission. As a Principal AI Platform Engineer, you will have the unique opportunity to shape high-impact platform transformations while working with cutting-edge AI technologies, all within a culture that values diversity and supports employee growth through mentorship and cross-functional leadership. Join us to influence strategic decisions and enhance developer productivity in a role that promises both meaningful challenges and rewarding experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Manager Data Products and Data Enabler for AI "All VOIS locations"
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like VOIS!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Sr. Manager Data Products and Data Enabler for AI "All VOIS locations" at VOIS.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like VOIS.
✨Apply Directly through Our Website
When you find a suitable opening like Sr. Manager Data Products and Data Enabler for AI "All VOIS locations" at VOIS, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Sr. Manager Data Products and Data Enabler for AI "All VOIS locations"
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at VOIS, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at VOIS. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at VOIS
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at VOIS!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
