below marketmost similar roles pay hereabove market
This role pays more than
52%
of similar roles. Most pay
$191,175–$264,662
— the blue band above.
At the midpoint, this role pays about
$219k
versus about
$228k
for comparable roles.
Based on 240 similar postings.
Employer
About Bristol Myers Squibb
Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients.
Bristol Myers Squibb currently has
34 open roles
on FindRole.
Listed pay typically runs
$153,830–$186,404
across 26 roles with salary data.
The Director, Real World Data Strategy joins the enterprise Real-World Data Strategy team to serve as a business-first leader at the intersection of data intelligence and AI-driven innovation. This role involves translating R&D priorities into actionable strategies, leading the adoption of artificial intelligence to identify, evaluate, and deploy real-world data assets, and establishing frameworks for evidence generation. The successful candidate will build AI-enabled data opportunities, monitor the global RWD ecosystem, and develop executive-ready business cases for investments and licensing. Key requirements include deep expertise in real-world healthcare data, AI fluency in generative AI and machine learning, and experience with analytic platforms and federated environments. The role solves the challenge of aligning complex data investments with measurable business value to accelerate exploratory use cases and improve patient impact.
Machine Learning
Python
SQL
Spark
Scala
R
scikit learn
TensorFlow
Data Modeling
Optimization Models
Data Visualization
Statistics
Econometrics
Operations Research
WCAG) 2.2 AA
Machine Learning
Python
Spark
Scala
R
scikit learn
TensorFlow
Data Science
Feature Engineering
Data Strategy
Data Visualization
Model Validation
Optimization Models
WCAG) 2.2 AA
Generative AI
Agentic AI
Machine Learning
Advanced Analytics
AI Governance
Data Strategy
Responsible AI
Model Governance
Data Literacy
AI Assurance
Technology Policy
Algorithmic Accountability
Data Science
Computer Science
Data Science
Data Engineering
Data Architecture
Business Intelligence
Machine Learning
Artificial Intelligence
Cloud Architecture
Semantic Modeling
Data Quality
Statistical Methods
Data Products
Reporting & Insights
Automation
Data Strategy