Enterprise Architecture Specialist - AI&Data

Role Purpose

The Senior Enterprise Architecture for the AI & Data Domain will provide centralised Enterprise Architecture and Strategy support for the AI & Data domain, acting as a key enabler for strategic alignment between local business objectives and global technology capabilities. This individual will be accountable for the collation, development & publication of Reference Architectures, Standards, Policies and Designs (Logical, Functional, and Application Architecture), working with Domain architecture team to address primarily Group AI & Data Domain Platform needs but also market-specific in alignment with architectural standards, including Vodafone Technology Standards (VTS), Vodafone Open Digital Architecture (V-ODA), and TM Forum API standards.

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

• Develop or publish reference architectures and designs (logical, functional, and application architectures) that address both market-specific and global strategic priorities in accordance with industry and Vodafone standards.
• Continuous evolution of the architectural landscape, ensuring it remains fit for purpose and responsive to changing business demands.
• Component definition and inventory management: define V-ODA components in relation to the domain and ensure domain‑specific application inventories are accurate and well‑maintained.
• Compliance: maintain architecture decision logs, draft and update relevant policies, and manage compliance with architectural standards and governance frameworks.

• High‑quality architecture deliverables, including comprehensive and accurate architecture diagrams, white papers, and policy and standard documentation.
• Successful design and implementation of data & AI architectures.
• Efficient and scalable data & AI solutions.
• Strategic alignment achieved between local business objectives and global technology capabilities, as evidenced by the successful implementation of reference architectures and designs.

• Enterprise Architecture:
  In-depth understanding of enterprise architecture frameworks such as TOGAF and eTOM, with a proven track record in conducting architectural planning for complex modernization and transformation programmes.
• Technical
  
  Skills:
  
  Proficiency in technology delivery tooling including the creation of architecture deliverables (e.g., architecture diagrams) and demand flow management (e.g., Jira, Confluence), along with excellent technical authoring skills.
  • Strong experience with AI and machine learning frameworks (e.g., Tensor Flow, PyTorch).
  • Strong experience in architecting data warehouse, BI & big‑data platforms on cloud.
  • In‑depth knowledge of cloud platforms such as AWS, Azure Cloud, or Google Cloud.
  • Experience in using and developing with AI services.
• Experience with data processing, data integration and storage technologies (e.g., Hadoop, Spark, SQL, streaming, file‑based data movement).
• Understanding of Dev Ops practices and tools for continuous integration and deployment.
• Good understanding of Responsible AI & Ethical AI frameworks, EU AI Act, and experience using RAI frameworks in AI solutions.
• Analytical and problem‑solving: strong analytical skills to translate complex business requirements into effective solutions, coupled with a proactive approach to identifying and resolving issues.
• Executive stakeholder engagement: exceptional interpersonal and communication skills including with senior leadership; demonstrable ability to work collaboratively in complex cross‑functional teams.
• Maintain up‑to‑date knowledge of industry trends and best practices in Enterprise Architecture and strategy. Knowledge of ERP solutions & finance, supply chain & HR processes is highly desirable.