below marketmost similar roles pay hereabove market
This role pays more than
93%
of similar roles. Most pay
$195,000–$280,912
— the blue band above.
At the midpoint, this role pays about
$338k
versus about
$238k
for comparable roles.
Based on 240 similar postings.
Employer
About Genentech
Genentech is a leading research-driven company dedicated to discovering and developing, manufacturing, and commercializing medicines for people with serious and life-threatening diseases.
Genentech currently has
36 open roles
on FindRole.
Listed pay typically runs
$146,000–$271,100
across 18 roles with salary data.
The Executive Director, Targeting, Optimization, & Measurement Analytical Suite joins the Insights & Analytics team to serve as a strategic commercial analytics leader. This analytical product leadership role involves driving the vision, design, and execution of scalable advanced analytics capabilities, including Next Best Action engines, dynamic HCP/patient segmentation, marketing mix modeling, and omnichannel campaign effectiveness. The successful candidate will build measurement frameworks, manage a complex portfolio of analytical solutions, and lead a high-performing team to translate pharma commercial strategy into actionable execution. Required expertise includes deep pharmaceutical commercial, medical, and access analytics. Key technologies and tools include Databricks, Dataiku, Snowflake, Collibra, Ataccama, Immuta, Reltio, Power BI, and GenAI/AI-ML technologies. The role solves complex business problems regarding resource optimization, field sizing, and quantifying net business impact.
Define and drive the strategic analytics roadmap for scalable targeting, optimization, and measurement across the commercial lifecycle.
Lead the design and deployment of commercial analytics solutions like Next Best Action engines and marketing mix modeling.
Direct long-term analytical product investments to ensure tools drive commercial growth and brand performance.
Oversee the development of advanced analytical methodologies and the integration of AI capabilities into commercial workflows.
Design and scale analytics solutions for omnichannel engagement, customer segmentation, and resource optimization.
Build measurement frameworks to quantify the business, scientific, and patient impact of analytics and AI solutions.
Establish KPIs to measure campaign performance, field force effectiveness, and the net business impact of deployed analytics.
Build and lead a high-performing team with deep expertise in pharma analytics and product development.
What we're looking for
Minimum 14+ years of progressive leadership experience in pharmaceutical or national healthcare payer commercial, medical, and/or access analytics.
Deep domain knowledge of the commercial pharmaceutical analytics lifecycle is required.
Bachelor’s degree in a quantitative, scientific, or analytical discipline.
Advanced degree (Master’s or Ph.D.) (preferred).
Proven track record in building, operationalizing, and measuring commercial analytics capabilities at scale in healthcare.
Experience with modern data and AI ecosystems including Databricks, Dataiku, Snowflake, Collibra, Ataccama, Immuta, Reltio, Power BI, and GenAI/AI-ML technologies.
Strong understanding of product management standards, governance, funding models, operating models, adoption, and value realization for enterprise data products.
Outstanding ability to translate complex methodologies and quantitative models into clear, actionable business insights for executive leadership.
AI
ML
Generative AI
Agentic AI
Python
R
Snowflake
Databricks
MLOps
A/B Testing
Causal Inference
Retrieval-Augmented Generation
Data Architecture
Agile
Model Governance
Generative AI
LLM
Data Engineering
Business Intelligence
Analytics Architecture
Data Platforms
AI Agents
natural-language analytics
Platform Design
Software Delivery
Enterprise Data
Python
Java
C++
C#
Athena
Quant Development
Stochastic Calculus
Numerical Methods
Probability Theory
Option Pricing Theory
Risk Analytics
Pricing Models
Data Architecture
Data Management
Machine Learning
Data Governance
Master Data Management
Cloud Data Platforms
Business Intelligence
Data Modeling
Data Quality
Agentic AI
Process Standardization
Automation
GxP
NIST AI RMF
ISO 42001
SQL
Python
Alteryx
Sigma
Qlik
Large Language Models
Data Visualization
Data Governance
Robotic Process Automation
Workflow Orchestration
Data Quality
Data Validation
Automated Reporting