Data Sciences Sr Mgr
About this opportunity
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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Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 402 comparable Senior Information Technology roles across 44 biopharma companies.
Salary context
53 of 402 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 402 comparable roles
+ 19 more countries
Seniority mix
402 of 402 peers have a known seniority level
Therapeutic area mix
1 of 402 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.