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Tier-1 employer and metro location increase applicants, but senior specialized data enablement focus reduces generalist competition.
Strong healthcare and regulated-data requirements increase industry-specific bias and reduce cross-industry transferability.
Explicit degree-and-years floors plus domain expertise and governance experience make filters strict.
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Own the data readiness agenda for Amgen's global obesity business, enabling analytics, AI/ML, reporting, and decision-support use cases.
Lead onboarding, integration, quality control, and preparation of internal and external data sources to ensure datasets are business-ready and AI-ready.
Manage a data enablement team in India providing disciplined support for analytics and AI/ML use cases, establishing service models and capability building.
Bachelor's degree with 10+ years relevant experience OR Master's degree with 8+ years OR Doctorate with 4+ years relevant experience.
Experience leading data enablement, analytics engineering, or data platform initiatives supporting business-ready data for analytics, AI/ML, or decision-support.
Strong understanding of modern data management practices including metadata, lineage, data quality, governance, access controls.
Experience working with healthcare, commercial, medical, operational, real-world, or external data sources for business analytics or decision-making.
Demonstrated ability to design and scale reusable governed data assets improving analytical speed and data quality at an enterprise level.
Experience influencing enterprise data engineering, architecture, privacy, and security stakeholders to align data platforms with business priorities.
Proven skills in diagnosing complex data issues and delivering practical, scalable solutions balancing speed, governance, and business needs.