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Data Sciences Senior Manager

India - Hyderabad

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Amgen

What you’ll work on

Full posting
  • Define and execute the therapeutic area commercial analytics roadmap

  • Lead delivery of patient and HCP analytics, including segmentation and targeting

  • Oversee predictive modeling, machine learning and causal measurement work

  • Guide test-and-learn designs such as holdouts and quasi-experiments

  • Lead and mentor a team of data scientists aligned to the TA

From the employer’s posting
Define and execute the TA commercial analytics roadmap aligned to strategic priorities.
Lead delivery of patient and HCP analytics, including:
Oversee predictive modeling, machine learning, and causal measurement approaches.
Guide test-and-learn approaches, including holdouts and quasi-experimental designs.
Lead and mentor a team of data scientists aligned to the TA.

What you’ll bring

All qualifications

Core experience

  • 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.

Preferred experience

  • Proficiency in Python and SQL; experience with modern data platforms (e.g., Databricks, cloud-based environments) is preferred.
  • Experience working with healthcare or real-world longitudinal datasets (claims, EMR, specialty pharmacy).
  • Experience operationalizing models into production environments.
  • Experience owning analytics roadmaps for brands, portfolios, or business units
Qualification wording
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.
Experience working with healthcare or real-world longitudinal datasets (claims, EMR, specialty pharmacy).
Experience operationalizing models into production environments.
Experience owning analytics roadmaps for brands, portfolios, or business units

Tools in this posting

  • Python
  • SQL
  • Databricks
Source — Tool mentions in context
- 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

Posting record

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Open 6 monthsWe first saw this posting 194 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 18, 2026 · 194 days ago
Recorded sightings
210
Last seen by us
Oct 30, 2026
Employer says posted
Mar 31, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

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-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.
  • 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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Source details

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Location & working pattern

India - Hyderabad

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