Data Sciences Sr Mgr

Amgen Inc. (IR); Hyderabad; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

Amgen Inc. (IR) seeks a Commercial Data Science Delivery Lead to own analytics for a Therapeutic Area, bridging business strategy with advanced analytics and driving measurable commercial outcomes. Responsibilities include leading a team of data scientists and partnering with GCCI to align analytics with strategic priorities.

The role emphasizes governance, model validation, and orchestration of advanced techniques to inform targeting, engagement, and ROI across commercial initiatives.

Qualifications

• 10-15 years of experience in data science, analytics leadership, or related strategic roles.
• Proven ability to translate analytical work into business decisions and measurable impact.
• Strong experience with predictive modeling, ML, and causal inference is preferred.

Responsibilities

• Define and drive the TA analytics roadmap aligned to commercial priorities.
• Lead delivery of patient and HCP analytics and modeling across initiatives.
• Establish measurement frameworks for campaign and engagement impact and ROI.
• Govern and operationalize models with engineering, ensuring reproducibility and monitoring.
• Mentor and develop a high-performing data science team and stakeholder management.

Skills

Python

SQL

Tools

Databricks

Job description

Career Category Engineering Job Description 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-&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. 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-&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.

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.amgen.com and follow us on www.twitter.com/amgen.