Strategy & Vision: Define and execute the long-term enterprise AI and machine learning roadmap to drive revenue growth and operational efficiency.Team Leadership: Build, scale, and mentor high-performing teams of data scientists, ML engineers, and AI researchers.Product Delivery: Oversee the full AI lifecycle from data ingestion and model training to production deployment and monitoring.Governance & Ethics: Establish frameworks for responsible AI, model risk management, data privacy, and regulatory compliance.Cross-Functional Collaboration: Partner with product, engineering, and executive stakeholders to embed AI capabilities into core business lines.Requirements & QualificationsExperience: 10+ years in technology leadership, with at least 5 years managing applied AI/ML teams at scale.Technical Depth: Hands-on background in Large Language Models (LLMs), neural networks, MLOps, and cloud infrastructure (AWS/Azure/GCP).Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.Soft Skills: Exceptional stakeholder management, executive communication, and strategic business acumen.