Product Manager- AI/ ML

Family Description

Information Technology (IT) acts as an internal function the developing, running, and maintaining of the IT systems and platforms Nokia is running on. Develops and maintains applications to meet the business needs of the organisation. Covers the performance and monitoring of day-to-day database and system activities as well as the provision of remote support to users regarding hardware and software problems.

Subfamily Description

IT Advancement & Design (ITA) comprises further development of information technologies and IT platforms for business solutions and services. Covers driving of proactive needs analysis ensuring that business needs, demands and challenges are well understood, and that business execution plans and capabilities are delivered on time and within budget. Contains management of demands and priorities while assuring alignment with the corporate strategy and budget. Comprises optimisation, harmonisation, and implementation of Nokias IT environment and systems by providing area specific knowledge. Covers representation of the whole IT organisation to global or regional business stakeholders and user communities. Works closely with the different service providers that are part of the IT eco-system, governs their performance, and acts as main interface between IT and the business including incident escalations. Comprises identification of opportunities for process and concept development as well as improvements. Covers planning and managing of the development, testing, and implementation of process / concept improvements and system changes at own responsibility area. Contains translation of requirements into system terminology and functionality as well as the delivery of process and system end-user training.

Qualifications:

• Bachelors or Masters degree in Computer Science, Engineering, AI, or a related field.
• Proven experience with overall experience of 10-15yrs and working as a Product Manager or Owner, preferably in AI/ML or technology platforms.
• Strong understanding of GenAI technologies and development processes.
• Experience with Agile methodologies and product management tools.
• Excellent problem-solving, organizational, and analytical skills.
• Strong interpersonal and communication skills.

Preferred Skills:

• Experience in managing AI/ML platforms or tools.
• Familiarity with software development and data science workflows.
• Leadership experience in a technical product management role.
• Ability to translate complex technical concepts into clear, actionable plans.

Key Responsibilities:

1. Platform Strategy and Vision:
   • Define and articulate the vision for the AI/GenAI development platforms.
   • Develop and implement a strategic roadmap for platform evolution in line with emerging AI trends and organizational goals.
   • Prioritize platform features and enhancements based on internal team needs and technological advancements.
2. Cross-Functional Collaboration:
   • Collaborate with AI/ML teams, engineers, and other stakeholders to gather requirements and feedback.
   • Act as a liaison between technical teams and business stakeholders to ensure alignment of platform capabilities with business objectives.
   • Facilitate communication and coordination across teams to drive platform development and adoption.
3. Product Lifecycle Management:
   • Manage the entire lifecycle of the platform from conception through release and beyond.
   • Monitor platform performance, gather user feedback, and iterate on improvements.
   • Ensure timely delivery of platform updates and new features.
4. Technical Guidance and Support:
   • Provide guidance on best practices for development and platform utilization.
   • Ensure the platform supports a range of AI development activities, from data processing to model training, fine tuning and deployment.
   • Stay abreast of the latest AI/ML technologies and methodologies to continuously enhance the platform.
5. User Training and Documentation:
   • Develop comprehensive documentation and training materials for platform users.
   • Conduct training sessions and workshops to enhance team proficiency in using the platform.