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Tier-1 employer plus metro location increase competition, though senior, specialized role moderates it.
Senior ML engineering skills and regulated pharma context limit cross-industry transferability.
Explicit 10–12 years requirement and Master's degree plus ML/AI specialization make filters strict.
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Lead identification, prioritisation, and delivery of high-impact advanced analytics and AI use cases across GSC Performance.
Design, oversee full lifecycle, and operationalise scalable, reusable AI and analytics solutions aligned with enterprise standards and responsible AI principles.
Act as a trusted advisor and collaborate cross-functionally to drive adoption, ensure measurable business value, and embed insights for decision-making.
Master’s degree in AI or related field.
10 to 12 years of experience with strong relevance in data science and advanced analytics.
Proven expertise in advanced analytics, machine learning, GenAI, end-to-end model lifecycle management, and data governance.
Experience working with enterprise data and complex datasets; exposure to supply chain, operations, or performance measurement preferred.
Experienced in strategic prioritisation and portfolio shaping of AI/analytics use cases at an enterprise level.
Capable of translating complex business challenges into scalable AI solutions and influencing stakeholders with actionable recommendations.
Comfortable leading cross-functional collaboration with product, engineering, and platform teams to integrate analytics into business processes.