Head of Commercial Data Science & AI Initiatives

BioSpace

Thousand Oaks (CA)

Hybrid

USD 230,000 - 320,000

Full time

18 hours ago
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Benefits offered by this job

Retirement plan
Annual bonus
Stock-based incentives
Award-winning time-off plans
Flexible work models

Job summary

Amgen is seeking an Associate Director of Commercial Data Science to lead an AI and advanced analytics portfolio across its commercial units. The role partners with senior stakeholders to identify high-value opportunities, govern a portfolio of AI initiatives, and drive business adoption while delivering measurable impact for patients.

The candidate will lead data scientists and cross-functional teams, ensuring scalable production-grade AI products and governance, with a focus on transforming

Qualifications

  • Doctorate, 3+ years in statistics/quantitative field, or
  • Masters, 7+ years in statistics/quantitative field, or
  • Bachelor's, 9+ years in statistics/quantitative field, or
  • Associates, 12 years in statistics/quantitative field, or
  • High school diploma with 14 years of quantitative experience would meet the minimum requirements.

Responsibilities

  • Define and execute the Commercial AI and Advanced Analytics strategy across Amgen's Commercial units.
  • Lead teams of data scientists and cross-functional partners to build scalable AI/ML products.
  • Drive portfolio prioritization, governance, and business adoption of analytics capabilities.
  • Partner with data engineering, digital, and vendors to operationalize AI at scale.
  • Influence executive stakeholders with business cases, ROI, and success metrics.

Skills

Leadership
AI/ML strategy
Executive storytelling
Data science leadership
Cross-functional collaboration

Education

Doctorate
Masters
Bachelor's

Tools

Databricks
AWS
Azure
Python
R
Scala
Java
MLOps

Job description

Amgen is seeking an Associate Director of Commercial Data Science to lead an AI and advanced analytics portfolio across its commercial units. The role partners with senior stakeholders to identify high-value opportunities, govern a portfolio of AI initiatives, and drive business adoption while delivering measurable impact for patients.

The candidate will lead data scientists and cross-functional teams, ensuring scalable production-grade AI products and governance, with a focus on transforming

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