Data Modeler-VOIS

• Translate business data requirements into accurate and scalable data models
• Act as a liaison between BI Product Owners, Group IT Delivery leadership, and distributed delivery teams
• Assure high-quality, deployable solutions with seamless transition into operations
• Provide timely progress updates and facilitate efficient collaboration across virtual teams
• Design, test, and maintain scalable data management systems
• Build datasets through effective data extraction, transformation, and loading
• Integrate batch and streaming data sources to support enterprise analytics
• Develop prototypes, algorithms, and PoCs to validate business use cases
• Identify new data acquisition opportunities and innovative usage approaches
• Establish processes for modelling, mining, and production use
• Integrate emerging data management technologies and tools
• Partner with data architects, modellers, and IT delivery teams
• Develop and maintain programs in Python or Java, alongside reporting dashboards
• Ensure delivery teams meet expected scope, quality standards, and testing requirements
• Oversee smooth transition from delivery to business-as-usual operations

• 8–10 years of IT experience with strong grounding in data and business analysis
• 6+ years of hands-on experience as a Data Modeler
• Proficient with industry-standard modelling tools such as Power Designer, erwin, Enterprise Architect, or ER/Studio
• Skilled in system integration across AD, Data, Testing, Operations, and Infrastructure
• Experienced in working within global, multicultural, and distributed teams
• Knowledgeable in Agile and Scrum practices, including JIRA
• SAFe agile certification is beneficial
• Familiar with cloud-based solutions, ideally AWS
• Experienced in continuous integration, continuous delivery, and automated testing methodologies
• A strong communicator with problem-solving capabilities and an appetite for innovation

SAFe agile certification is beneficial

• Opportunity to work at the forefront of Vodafone’s BI transformation
• Exposure to wide data strategies and enterprise-level architecture
• Collaboration with global teams across technology, data, and business functions
• A role that encourages continuous learning, experimentation, and innovation
• Ability to influence the quality, scalability, and future direction of VOIS’s central BI landscape