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Tier-1 brand, metro location, and broad senior AI skillset increase candidate competition.
Requires deep AI, LLM, MLOps expertise and enterprise leadership, so cross-industry transferability is low.
Explicit 15+ years, 8+ years leadership, and mandatory cloud AI platform experience make filters strict.
Define and execute enterprise-wide AI strategy, roadmap, and governance framework.
Lead large-scale AI transformation programs across engineering, manufacturing, mobility, and corporate functions driving measurable business outcomes.
Build and lead high-performing AI, Data Science, Machine Learning Engineering, and MLOps teams and establish scalable AI platforms and reusable capabilities.
15+ years experience in Artificial Intelligence, Data Science, Software Engineering, Digital Engineering, or Digital Transformation.
Minimum 8 years leadership experience managing global engineering or AI organizations.
Bachelor's and Master's degree or higher in Computer Science, Artificial Intelligence, Data Science, or related discipline.
Hands-on experience with Azure AI, AWS AI, Google Vertex AI, OpenAI, Anthropic, or similar cloud AI ecosystems; demonstrated enterprise AI strategy leadership.
History of successfully delivering enterprise-scale AI transformation programs with measurable business impact.
Deep expertise in Machine Learning, Generative AI, Large Language Models, Agentic AI, AI Platforms, and MLOps.
Experienced in influencing executive stakeholders and leading cross-functional global AI initiatives.