**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.

**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.

**Key Responsibilities**

**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 analyses

+ Segmentation and targeting strategies

+ Engagement effectiveness and persistence insights





+ Trigger/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.

**What Success Looks Like**

+ A clear,



impact-driven analytics roadmap tied to commercial outcomes.

+ Analytics integrated into targeting, engagement, and investment decisions.

+ Solid 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

📌 Data Sciences Sr Mgr (Hyderabad)
🏢 AMGEN
📍 Hyderabad