





Tier-1 brand plus metro location and broad, in-demand data/AI skillset increases candidate competition.
Core data and ML skills transfer across industries, though healthcare domain knowledge is beneficial.
Explicit minimum experience options and managerial AI/data expertise create strict mandatory filters.
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Lead the analysis of complex datasets and AI model development to inform strategic business decisions.
Oversee data pipeline development, ensuring data integrity, governance compliance, and deployment of machine learning models with security and scalability.
Manage data governance, compliance, documentation, troubleshooting, and team operations including talent management and cross-functional collaboration.
Bachelor's or Master's degree in Computer Science, Information Management, Data Science, Econometrics, AI, Applied Mathematics, Statistics or equivalent.
Minimum 10 years experience with Bachelor's degree OR minimum 5 years with Master's degree in Data Handling, Data Analytics, AI Modeling, or equivalent.
Office-based role requiring at least 3 days per week presence in office.
Not explicitly mentioned in the JD: specific programming language mandatory skills; however, preferred experience includes Python, R, JAVA, C/C++.
Experienced in managing end-to-end data and AI solution lifecycles including data pipelines, AI model deployment, and operational monitoring.
Strong background in data governance and compliance aligned with regulatory and ethical standards.
Senior-level capability in guiding strategic data initiatives and leading a multidisciplinary team while partnering with business stakeholders.