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Strong Tier‑1 pharma brand and Hyderabad metro increase applicants, but senior niche analytics leadership reduces density.
Requires deep pharma commercial analytics, forecasting, and matrix global leadership, reducing cross‑industry transferability.
Explicit 20+ years, deep pharma analytics expertise, and global leadership requirements make shortlisting highly strict.
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Lead and execute Amgen’s Business Analytics & Intelligence (BAI) and Data strategy to embed scalable analytics, AI, and automation across global commercial decision-making from the India site.
Architect and govern data ecosystems, commercial data quality, privacy, and next-gen data architecture; manage enterprise analytics platforms and vendor portfolio for global delivery.
Drive insights leadership overseeing forecasting, competitive intelligence, advanced analytics functions, and lead organizational development of the India-based analytics team contributing to global commercial strategies.
20+ years of experience leading large-scale data and analytics functions in biopharma, healthcare, or technology sectors.
Experience managing multi-country teams in matrixed, global operating models with cross-geography stakeholder influence.
Expertise in pharma commercial models including forecasting, brand analytics, and incentive compensation.
Work Experience Required: 20+ years in relevant industries. Notice period: Not explicitly mentioned in the JD.
Strategic leader capable of translating complex analytics into measurable commercial outcomes and driving AI/ML-enabled business transformation.
Experienced in governance of modern data architectures and scaling global analytics organizations with executive influencing skills.
Proven track record in leading high-performing cross-functional and cross-geographical teams in a complex global matrix environment.