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Telefónica is a global telecommunications company serving both consumers and enterprises. Its work centers on connecting people and talent through communication technologies, while advancing digital innovation across the telecommunications sector. With nearly a century of experience, Telefónica provides a broad context for professionals exploring careers in connectivity, technology, and business services.
Data and AI Architect | Telefónica | Madrid On-site
Join Telefónica as a Data and AI Architect, shaping enterprise architecture, standards, and governance across a global telecommunications and technology company. Help advance data and AI capabilities through strategic evaluation, scalable design, and business-focused technology decisions.
Description
- Monitor developments in data, advanced analytics, and artificial intelligence.
- Assess market trends and identify opportunities relevant to Telefónica.
- Coordinate and technically evaluate RFIs, RFPs, and proof-of-concept initiatives.
- Contribute to enterprise reference architectures and corporate data and AI standards.
- Develop governance models that support scalability, interoperability, and operational efficiency.
- Serve as a technical liaison among corporate teams, operating companies, and technology providers.
- Support adoption of enterprise architectures and inform strategic decisions.
- Translate the technology and business impact of emerging solutions and trends.
- Research and assess emerging technologies.
- Define technical standards and governance frameworks.
- Guide operating companies in adopting enterprise architectures.
Requirements
- University degree in Computer Engineering, Telecommunications Engineering, Industrial Engineering, Physics, Mathematics, or a related discipline.
- At least five years of experience in data architecture, AI, technology strategy, or specialized consulting.
- Background working in complex, internationally scoped enterprise environments.
- Experience participating in technology selection and evaluation processes.
- Knowledge of leading data and artificial intelligence vendors and solutions.
- Experience collaborating with multidisciplinary teams and stakeholders across business functions.
- Familiarity with modern data architectures, including Data Lakehouse, Data Mesh, and Data Fabric.
- Expertise in data governance and end-to-end data lifecycle management.
- Knowledge of DataOps principles and practices.
- Understanding of artificial intelligence and machine learning architectures.
- Knowledge of generative and agentic AI ecosystems, including RAG, agents, vector databases, and AI gateways.
- Experience with API-based integration architectures and event-driven architecture patterns.
- Ability to evaluate technologies, define RFIs and RFPs, and lead proof-of-concept projects.
- Upper-intermediate B2 or C1 English required for international communication and stakeholder engagement.
- Fluent Spanish.
Benefits
- 27 working days of annual leave plus two personal days.
- Medical insurance and competitive social benefits.
- Flexible compensation program.
- Pension plan.
- Ongoing learning and training opportunities.
- Flexible working arrangements.
- Transformative projects and strategic initiatives.
- International environment with collaboration alongside technology experts.
- Digital disconnection supported by the “Disconnect to Reconnect” principle.
- Diverse, inclusive, and sustainable workplace.
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