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NOKIA

Head of AI for Services & Care

NOKIA, Sunnyvale, California, United States, 94087

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The ideal candidate will have deep expertise in AI/ML, automation, and operational management, with a proven track record of deploying and optimizing AI systems in large, complex environments. The role is pivotal in advancing S&C's leadership in AI-driven operations, focusing on maximizing uptime, efficiency, and customer satisfaction through intelligent automation and predictive analytics.

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.

You have:

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 postdeployment reliability and lifecycle management.

Proven ability to operationalize AI technologies, including automation, machine learning, and cloud computing.

Nice‑to‑have Qualifications

Master's degree in computer science, IT, or a related field.

MBA or other business‑oriented postgraduate qualification.

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we're advancing connectivity to secure a brighter world.

Learn more about life at Nokia.

About the Business Group In Cloud and Network Services, as Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud‑native software and as‑a‑service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.

Our recruitment process We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you're interested in this role but don't meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.

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