This role pays more than
82%
of similar roles. Most pay
$193,830–$269,175
— the shaded band above.
At the midpoint, this role pays about
$278k
versus about
$232k
for comparable roles.
Based on 239 similar postings.
Employer
About Novartis
Novartis is a global biopharmaceutical company that researches, develops, manufactures, and markets prescription drugs in areas including oncology, immunology, neuroscience, and cardiology. Industry: Biopharmaceuticals
Novartis currently has
26 open roles
on FindRole.
Listed pay typically runs
$194,600–$361,400
across 26 roles with salary data.
The Director, Analytics Standards & Impact Measurement joins the Commercial Analytics team to establish enterprise-wide standards for advanced AI, machine learning, and data science. This role is responsible for defining measurement frameworks, establishing model validation protocols, and creating standardized methodologies for common use cases like patient predictive models and HCP targeting. The individual will build automated workflows with quality gates, ensure regulatory compliance including HIPAA and GDPR, and conduct impact studies to quantify the return on investment for analytics initiatives. Key requirements include expertise in machine learning, causal inference, experimental design, and predictive modeling. Candidates must possess proficiency in data science programming and AI platforms while navigating the pharmaceutical regulatory environment. The role focuses on ensuring that both expert and citizen data scientists produce high-quality, trustworthy outputs that provide measurable business value across the organization.
Data Governance
Data Strategy
Data Architecture
Master Data Management
Metadata Management
Data Quality
Data Lifecycle Management
Artificial Intelligence
Machine Learning
Deep Learning
Data Science
Statistical Analysis
Time Series Analysis
Data Visualization
Data Product Management
Analytics Strategy
Machine Learning
Artificial Intelligence
Python
R
scikit-learn
PyTorch
Keras
Data Science
Statistics
SQL
Pandas
Deep Learning
Time Series Analysis
Data Visualization
Exploratory Data Analysis
Version Control
GenAI
NLP
Biostatistics