Full - time role focused on data preparation, AI applications, and deep learning methods in Burgbrohl, Germany. Collaborating on projects and prototype development with a strong emphasis on programming in Python.
About the role
- Head of AI at Nokia driving the adoption and integration of AI technologies for operational excellence. Focused on enhancing service delivery and customer experience through innovative AI solutions.
Responsibilities
- Develop and execute the AI strategy for operational excellence, with a focus on Day 2 operations (monitoring, maintenance, optimization, and lifecycle management of AI systems in production).
- Lead the deployment and continuous improvement of AI/ML solutions that automate and optimize service delivery, fault detection, resolution, and predictive maintenance.
- Identify and implement emerging AI technologies that deliver measurable improvements in operational reliability, efficiency, and customer experience.
- Serve as the primary AI thought leader and advisor to the S&C leadership team, representing S&C in key forums and customer engagements.
- Foster a culture of operational innovation, establishing frameworks for continuous experimentation and rapid improvement in AI-driven processes.
- Oversee the integration of AI solutions into existing operational workflows, ensuring seamless handover from deployment (Day 1) to ongoing operations (Day 2).
- Define and track KPIs for AI in operations, including system uptime, incident reduction, automation adoption, and operational cost savings.
Requirements
- Extensive leadership and strategic expertise, with over 20 years of experience in business management and leading large cross‑functional initiatives.
- At least 5 years in senior leadership roles focused on AI, automation, and operational excellence.
- Deep hands‑on proficiency in Day 2 operations for AI/ML systems, including monitoring, troubleshooting, scaling, and optimizing production environments.
- Strong technical knowledge of AI/ML, Generative AI, and LLMs, with proven application in operational automation.
- More than 5 years of direct experience in telecommunications or enterprise software operations, emphasizing post‑deployment reliability and lifecycle management.
- Proven ability to operationalize AI technologies, including automation, machine learning, and cloud computing.
- It would be nice if you also have:
- Master’s degree in computer science, IT, or a related field.
- MBA or other business-oriented postgraduate qualification.
Benefits
- Flexible and hybrid working schemes
- A minimum of 90 days of Maternity and Paternity Leave, with the option to return to work within a year following the birth or adoption of a child (based on eligibility)
- Life insurance to all employees to provide peace of mind and financial security
- Well-being programs to support your mental and physical health
- Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
- Employee Growth Solutions to support your personalized career & skills development
- Diverse pool of Coaches & Mentors to whom you have easy access
- A learning environment which promotes personal growth and professional development - for your role and beyond
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