
Senior AI/ML Strategic Business Leader
2 weeks ago
About the Role:
This leadership position plays a pivotal role in driving organizational understanding and strategic implementation of AI/ML capabilities.
Key Responsibilities:
- Evaluate and enhance organizational awareness of AI/ML strengths and opportunities for growth.
- Collaborate with senior leadership to understand business processes and develop targeted AI/ML use cases for improved outcomes.
- Partner with functional heads to identify and resolve business challenges through AI/Analytics solutions.
- Translate business problems into analytical issues, applying AI/ML techniques to drive strategic initiatives.
- Develop a comprehensive approach to scale AI/ML at Max Life through various solutions.
- Promote data-driven decision making and co-create business strategies through data storytelling and insights presentation.
- Built and manage external relationships for outside-in perspectives, innovation, and knowledge sharing.
- Lead AI/Analytics projects from conceptualization to implementation and continuous monitoring.
- Foster a strong team culture emphasizing solution delivery, continuous learning, and experimentation.
Requirements:
- MBA or master's degree in quantitative fields like mathematics, computer science, engineering, statistics, economics, etc. from top-tier institutes.
Experience:
- A minimum of 12-15 years of work experience in analytical roles.
Key Competencies/Skills:
- Strong collaboration and influence skills.
- Analytical thinking and data storytelling abilities.
- Multi-tasking, prioritization, and project execution governance.
- Demonstrated passion for AI/ML/Data Science/Gen AI through developed solutions.
- Hands-on experience with Analytics/ML/Deep tech/GenAI technologies and applications.
- Proficiency in Python, R, Spark, and other open-source tools.
- Cloud environment deployment experience for AI/ML solutions.
- ML/DL/Gen AI frameworks expertise.
- Deep understanding of cloud-based Gen AI, Vision, Text, and Speech AI frameworks and services.
- At least 8 years of experience in client-facing data science consulting roles.
Measures of Success:
- Ability to form partnerships with functional leaders and influence decision-making through data.
- Operational efficiency improvements and business goal achievement in supported functions.
- Organization-wide initiative execution.
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