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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML strategy, architecture, and governance, with a strong focus on building technical communities and workforce development. Proven ability to lead cross-functional initiatives and communicate effectively with senior leadership on technology investments and strategic direction.
Highest-signal resume keywords
AI/ML Strategy DevelopmentTechnical Leadership in AI/MLPython ProgrammingCloud-Based AI/ML InitiativesGovernance Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML MethodsData AnalysisTool DevelopmentArchitecture StandardsEngineering Data SystemsDecision-Support ToolsCompetency DevelopmentTransformation InitiativesTechnical StandardsProject Scope Definition
Soft Skills
Organizational LeadershipCommunication with Executive LeadershipMentoringInfluencing Technology DecisionsCollaboration Across Functions
Tools & Technologies
AI PlatformsCloud TechnologiesKnowledge SystemsAutomation ToolsEngineering Platforms
Industry Keywords
Electrical EngineeringComputer ScienceData ScienceApplied MathematicsDigital Engineering Transformation
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Lead OMG AI/ML and automation strategy, architecture, technical direction, priorities, and adoption across PIC, ASIC, TROSA, and Pluggable technologies
- Build AI/ML capability across OMG through technical guidance, mentoring, reusable examples, and coordinated learning opportunities
- Establish common methods, governance, knowledge systems, and reusable architecture patterns for scalable, traceable, and responsible use of AI/ML
- Transform engineering data, workflows, knowledge, and traceability into AI-ready systems spanning development, qualification, manufacturing, reliability, and field performance
- Guide engineers in selecting, developing, validating, and using AI/ML methods and reusable solutions, including agents, skills, RAG, analytics, and automation
- Partner across Development, Product Engineering, Test, Reliability, Quality, Manufacturing, Operations, IT, and Nokia AI/ML communities
- Define and maintain the OMG AI/ML technology roadmap and align it with Nokia AI strategy, architecture direction, and long-term business objectives
- Represent OMG in Nokia-wide AI, data, automation, and architecture forums
- Establish AI/ML governance, architecture standards, and engineering practices for adoption across Nokia engineering organizations
- Lead evaluation and selection of AI platforms, cloud technologies, external partners, implementation approaches, and strategic technology investments
- Develop OMG AI/ML competency frameworks, workforce development plans, training strategies, and technical communities
- Serve as a senior technical advisor to OMG leadership
- Provide strategic leadership for cloud platform initiatives, including staffing, contributor selection, priorities, deliverables, risks, and decisions
Requirements
What you’ll need- Master's degree or higher in Electrical Engineering, Computer Science, Data Science, Physics, Photonics, Applied Mathematics, or a related field, or equivalent relevant experience
- Demonstrated organizational and technical leadership in AI/ML, analytics, software, or automation for engineering, product development, test, or manufacturing
- Strong technical depth in programming, data analysis, and tool development using Python or similar technologies
- Experience with modern AI/ML methods and architectures, including agents, skills, RAG, knowledge systems, engineering data systems, traceability, or decision-support tools
- Experience defining organization-level technology strategy, roadmaps, and architecture direction across multiple engineering organizations
- Experience establishing enterprise-scale technical standards, governance frameworks, or architecture methods
- Experience leading large cross-functional transformation initiatives
- Experience influencing technology investment decisions, platform strategy, build-versus-buy evaluations, and partner selection
- Experience building technical communities, competency-development programs, workforce plans, or AI/ML enablement programs
- Ability to communicate AI/ML strategy, opportunities, risks, and investment recommendations to senior and executive leadership
- Recognized technical authority in AI/ML, engineering automation, knowledge systems, or digital engineering transformation
- Experience evaluating technical talent, forming teams, and working with internal and external delivery partners
- Experience leading cloud-based AI/ML, data, or engineering platform initiatives
- Experience defining project scope, priorities, deliverables, risks, and stakeholder alignment across organizational boundaries
Benefits
Comp & perks- Potential incentive/variable compensation for eligible roles
- Laptop support with ordering
- Hybrid work arrangement