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Strong Tier-1 brand and visible GenAI role increase competition despite seniority.
Highly specialized ML/GenAI leadership demands domain-specific experience, limiting cross-industry transferability.
Explicit 12+ years, director seniority, certifications, and client-facing requirements make filters strict.
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Lead design and development of AI and Machine Learning solutions to convert raw data into business insights.
Oversee data infrastructure and integration for scalable AI systems while managing multiple projects and executive client relationships.
Drive business growth through strategic direction, business development, mentoring teams, and promoting technological innovation.
Bachelor's degree required.
Minimum 12 years of relevant work experience.
Proficiency in Python and C++ for AI model development and complex data analysis.
Ability to travel up to 80%.
Background in Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, or Engineering preferred.
Holds certifications in data engineering, machine learning, or cloud platforms (AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake) or related AI credentials.
Experienced in leading AI-driven automation projects with a strategic and innovative approach, and fostering talent through coaching and mentorship.