AI Transformation Strategist
Nokia
full-time
Posted on:
Location Type: Hybrid
Location: Bangalore • India
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Tech Stack
About the role
- 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.
Benefits
- Health insurance
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI engineeringdata platformsgovernancedelivery modelsgenerative AIMLopslarge language modelscomputer visioncloud platformsAI deployment
Soft Skills
leadershipstrategic planningcommunicationcollaborationaccountabilityproblem-solvingstakeholder managementorganizational skillsdecision-makingadaptability