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Strong employer brand and Bangalore metro increase competition despite senior, specialized role.
Requires deep ML/AI and data science leadership, limiting cross-industry transferability.
No explicit years but expects senior AI leadership, certifications, and specific ML/cloud skills.
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Lead development and execution of AI and data science strategies for strategic decision-making.
Oversee design and deployment of machine learning models for predictive analytics across business functions.
Manage and mentor a team of data scientists and analysts to deliver actionable insights and AI-driven solutions.
Bachelor's degree in Business Analytics, Computer Science, or Statistics; Master's in Data Science preferred.
Certifications include Azure Data Engineering (DP-203), Databricks Data Engineer Associate, Microsoft Azure Data Fundamentals, Power BI Data Analyst Associate.
Required skills include advanced AI/ML techniques, Amazon SageMaker, CI/CD, Agile methodology, and change management.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading AI strategy and building scalable AI-driven business solutions in complex environments.
Strong leadership skills with proven capability to manage and mentor data science teams.
Comfortable working in a hybrid model and collaborating across cross-functional teams to identify and exploit AI opportunities.