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Senior niche AI leadership reduces applicant density despite Genpact's strong brand and broad skill list.
High because senior AI leadership demands deep, domain-specific technical expertise and proven ML deployment experience.
High due to required AI leadership, extensive ML experience, managerial responsibilities, and certifications.
Lead development and execution of AI and data science strategies to drive strategic decision-making.
Oversee design and deployment of machine learning models for predictive analytics and identify AI-driven business opportunities.
Manage and mentor a team of data scientists and analysts to deliver high-quality insights and innovative data 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 (DP-900), and Power BI Data Analyst Associate.
Skills required include AI, Machine Learning, Automated ML (AutoML), Agile Methodology, Amazon SageMaker, CI/CD pipelines, and data provisioning/validation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading AI-powered transformation projects with measurable business impact.
Strong background in AI/ML model development and deployment within a cross-functional, hybrid work environment.
Capable of strategic collaboration, managing diverse tech teams, and advancing data analytics capabilities through research and innovation.