Telefónica
Telefónica
Telefónica iste’molchilar va korxonalarga xizmat ko‘rsatuvchi global telekommunikatsiya kompaniyasidir. Uning faoliyati kommunikatsiya texnologiyalari orqali odamlar va iqtidorlarni bog‘lashga, shuningdek, telekommunikatsiya sohasida raqamli innovatsiyalarni rivojlantirishga qaratilgan. Qariyb bir asrlik tajribaga ega Telefónica aloqa, texnologiyalar va biznes xizmatlari sohalarida karyera imkoniyatlarini izlayotgan mutaxassislarga keng professional muhitni taqdim etadi.

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.

Tavsif

  • 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.

Talablar

  • 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.

Imtiyozlar

  • 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.

O‘xshash ish o‘rinlari