AI Transformation Strategist shaping and scaling AI capabilities for Nokia. Collaborating with senior leaders to drive AI initiatives and deliver innovative solutions from India.
Responsibilities
Help define and evolve the AI transformation aligned with global Tech & AI strategy.
Identify priority capability areas across AI engineering, data, platforms, tooling, governance, and delivery models.
Translate strategic intent into clear roadmaps, milestones, and success measures.
Orchestrate complex, cross-functional AI programs spanning talent, tools, platforms, processes, and partnerships.
Define program structure, interdependencies, risks, and decision points.
Track progress, surface issues, and enable timely leadership decisions to maintain momentum.
Work closely with senior leaders responsible for AI on priority topics and initiatives, supporting leadership forums, planning cycles, reviews, and key communications.
Prepare executive level materials, narratives, and briefings that drive alignment and decisions.
Act as a connective layer across stakeholders, ensuring clarity, follow through, and accountability.
Ensure strong alignment between India based AI capabilities and global platforms, standards, and governance.
Facilitate collaboration across regions, functions, and teams to avoid fragmentation and duplication.
Help translate global strategy into practical execution models suited to India.
Support initiatives related to AI talent strategy, including skills development, role definitions, learning pathways, and career models.
Monitor global trends in AI capability building, delivery models, and operating structures.
Bring external insights and comparative benchmarks into internal discussions on scale, productivity, and quality.
Requirements
Bachelor’s degree or equivalent degree with 12+ years of experience in strategy, transformation, or enterprise delivery roles involving complex, multi‑stakeholder environments.
Demonstrated experience supporting or leading large‑scale capability‑building or transformation programs.
Strong exposure to AI, data, digital engineering, or technology platforms in enterprise contexts.
Proven ability to operate close to senior leadership and manage competing priorities.
Familiarity with generative AI, MLops, large language models, computer vision, or other advanced AI technologies.
Knowledge of cloud platforms and AI deployment at scale.
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