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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