Data Sciences Sr Mgr

Amgen · India - Hyderabad, India · full time · On site · March 31, 2026

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Posted March 31, 2026 · Read from Amgen
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The Role

You will serve as the single point of accountability for commercial data science delivery within your assigned TA(s), partnering with cross-functional Global Customer Capabilities and Innovation (GCCI) teams and leading a team of data scientists to drive business impact.

What Success Looks Like

  • A clear, impact-driven analytics roadmap tied to commercial outcomes.
  • Analytics integrated into targeting, engagement, and investment decisions.
  • Strong trust with GCCI and TA leadership.
  • A high-performing data science team delivering consistent business value.
  • Measurable improvement in commercial effectiveness and ROI.

Basic Qualifications

  • 10–15 years of experience in data science, advanced analytics, or commercial analytics leadership.
  • Demonstrated experience driving analytics delivery in pharmaceutical, healthcare, or other commercial industries (e.g., retail, consumer, financial services, tech).
  • Strong experience in predictive modeling, machine learning, and/or causal inference (hands-on or through technical oversight).
  • Experience translating complex analytical work into actionable business decisions.
  • Proven experience leading analytics teams and managing stakeholder expectations.
  • Proficiency in Python and SQL; experience with modern data platforms (e.g., Databricks, cloud-based environments) is preferred.

Preferred Qualifications

  • Experience working with healthcare or real-world longitudinal datasets (claims, EMR, specialty pharmacy).
  • Exposure to experimental design, uplift modeling, or structured test-and-learn frameworks.
  • Experience operationalizing models into production environments.
  • Strong executive communication and stakeholder influence skills.
  • Experience owning analytics roadmaps for brands, portfolios, or business units

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Career Category

Engineering

How Might You Defy Imagination?

At Amgen, commercial data science shapes how therapies reach patients. It informs targeting, engagement strategy, resource allocation, and measurement of impact.

As a Commercial Data Science Delivery Lead, you will own the analytics agenda for a Therapeutic Area (TA) and be accountable for translating data science into measurable commercial outcomes.

This is a senior leadership role for someone who can bridge business strategy and advanced analytics — ensuring the right problems are solved and insights drive action.

Commercial & Analytics Leadership

  • Define and execute the TA commercial analytics roadmap aligned to strategic priorities.
  • Translate complex business questions into structured analytical problem statements.
  • Prioritize initiatives based on impact, feasibility, and value realization.
  • Represent data science in TA and GCCI governance forums.
  • Ensure insights are decision-ready and embedded into commercial execution.

Advanced Analytics & Modeling Oversight

  • Lead delivery of patient and HCP analytics, including: Journey and cohort analysesSegmentation and targeting strategiesEngagement effectiveness and persistence insightsTrigger/alert and identification models
  • Oversee predictive modeling, machine learning, and causal measurement approaches.
  • Ensure robust validation, lift assessment, and experimental rigor.
  • Challenge model assumptions and outputs to maintain scientific credibility.

Measurement & Commercial Effectiveness

  • Establish structured measurement frameworks for campaign and engagement impact.
  • Guide test-and-learn approaches, including holdouts and quasi-experimental designs.
  • Align measurement outputs with broader commercial performance metrics and business KPIs.

Operationalization & Governance

  • Partner with engineering and platform teams to deploy and monitor models.
  • Ensure documentation, reproducibility, and governance standards are met.
  • Implement monitoring strategies for model performance and lifecycle management.

Team Leadership

  • Lead and mentor a team of data scientists aligned to the TA.
  • Set standards for analytical rigor, business relevance, and delivery excellence.
  • Build a culture of accountability, ownership, and continuous improvement.
Employer
Amgen
Location
India - Hyderabad, India · On site
Contract
full time