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Tier-1 brand and popular ML leadership role increase competition, tempered by niche life‑sciences regulatory requirement.
High because GxP, pharma domain knowledge and regulated compliance limit cross‑industry transferability.
Requires regulated life‑sciences experience, team leadership, AI engineering and compliance — tight mandatory filters.
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Lead and build a new Data Sciences & AI team within Amgen India focused on scalable digital and AI solutions for clinical and commercial supply chain processes.
Own product delivery, client success, and cross-functional collaboration to translate supply chain needs into measurable digital outcomes.
Ensure compliance, quality, and operational standards in AI/ML solution delivery across multiple projects with pragmatic prioritization and innovation culture.
Experience in pharma, biotechnology, life sciences, or regulated manufacturing environments with compliance, data privacy, security, and documentation requirements.
Demonstrated experience leading software engineering, AI engineering, data engineering, analytics, or technical delivery teams.
Strong understanding of supply chain processes and ability to translate business needs into scalable, compliant technology solutions.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced leader capable of managing cross-functional teams in product and AI engineering within regulated life sciences domains.
Operates effectively in Agile environments managing multiple priorities and stakeholder groups with pragmatic delivery decision-making.
Strategic thinker with the ability to assess technology tradeoffs balancing business value, risk, compliance, and scalability in end-to-end software delivery.