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.

As the largest shared services organisation in the global telco industry with 30,000 FTE, 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. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.

We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.

#VOIS #BeUnrivalled #CreateTheFuture

About This Role

We are seeking a Technical Product Owner to work closely with a data engineering team, translating business and stakeholder needs into clear, testable technical requirements. You will connect technical and non-technical stakeholders, ensuring that data products address the right business problems and deliver measurable value.

The role requires sufficient technical knowledge to read SQL, understand relational data models, follow data pipeline logic and assess engineers’ query approaches. You will own and prioritise the product backlog and roadmap, define acceptance criteria and support data initiatives throughout the Agile delivery lifecycle

What You’ll Do

• Conduct structured interviews and workshops with business stakeholders, data engineers and other technical teams to understand requirements
• Translate business needs into clear and testable business requirements documents, epics, user stories, functional specifications and acceptance criteria
• Own, refine and prioritise the product backlog according to business value, product direction, dependencies and technical feasibility
• Develop and maintain roadmaps and release plans for data initiatives and demands
• Map current-state and future-state processes, identify gaps and assess the potential impact of proposed features
• Define data quality requirements, validation criteria and test cases for data deliverables
• Review completed work against agreed acceptance criteria and provide product sign-off
• Participate in Agile and Scrum activities, including backlog refinement, sprint planning, reviews and retrospectives
• Work collaboratively with onshore and offshore teams throughout day-to-day product delivery
• Act as a communication bridge between data engineers and non-technical stakeholders, translating information accurately in both directions
• Maintain current documentation covering requirements, decisions, processes and data definitions
• Present product requirements, decisions and findings to technical and non-technical audiences
• Ask constructive questions and challenge technical or business assumptions when further clarification is needed
• Build trust across the product team and influence decisions through collaboration rather than formal authority
  
  
  

Who You Are

• You have approximately four years of relevant professional experience
• Experience with Data Engineering is a must
• V.good English
• You hold a qualification in computer science, engineering or a related discipline, or possess an equivalent combination of education and professional experience
• You have strong SQL knowledge, including joins, common table expressions, window functions and aggregations, and can read and validate query logic
• You understand relational data modelling and can interpret entity-relationship diagrams
• You have working knowledge of ETL and ELT concepts, pipeline or DAG logic, and end-to-end data flows
• You have experience gathering, documenting and managing technical and non-technical requirements
• You can write clear user stories, acceptance criteria and supporting requirements documentation
• You understand Agile software development and have experience participating in Scrum ceremonies
• You have strong research, analytical, stakeholder engagement and communication skills
• You are committed to user-centred product design and development
• You can make informed product decisions at squad level and prioritise requirements according to value and feasibility
• You are comfortable communicating with data engineers and asking detailed questions without requiring extensive technical support
• You can present complex requirements clearly to technical and non-technical audiences
• You maintain accurate documentation and ensure that requirements, decisions and data definitions remain current
  
  
  

Experience working directly within or alongside a data engineering team, exposure to data governance or data catalogue platforms such as Collibra or Alation, and relevant industry knowledge would be beneficial.

Not a Perfect Fit?

Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

What’s In It For You

• The opportunity to influence data products from initial concept through to delivery and product sign-off
• Direct collaboration with data engineers, business stakeholders and multidisciplinary Agile teams
• Experience shaping product roadmaps, release plans and prioritisation decisions for data initiatives
• The opportunity to contribute to data quality, governance and validation standards
• Exposure to both the technical and commercial aspects of data product development
• A collaborative environment where you can influence outcomes through evidence, communication and trusted stakeholder relationships
  
  
  

What Skills You Will Learn

• Advanced product backlog management and prioritisation for data engineering initiatives
• Practical application of SQL, relational data models and end-to-end data pipeline concepts
• Data quality validation, test-case definition and acceptance management
• Roadmap and release planning for technical data products
• Facilitation of requirements workshops involving technical and non-technical participants
• Translation of complex business needs into actionable technical requirements
• Stronger stakeholder influencing, technical questioning and cross-functional communication skills
• Practical exposure to data governance and data catalogue practices
  
  
  

VOIS Equal Opportunity Employer Commitment

Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.

Join Us

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.

We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.

With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

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