Senior Director, Advanced Analytics Products

Madrigal Pharmaceuticals

Senior Director at Madrigal leading commercial advanced analytics and AI initiatives. Focused on leveraging analytics to improve customer engagement and operational efficiencies.

Posted 8/1/2026full-timeConshohocken • Massachusetts, Pennsylvania • 🇺🇸 United StatesSenior💰 $257,000 - $314,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in commercial advanced analytics and AI, with a strong focus on integrating data-driven insights into business strategies. Proficient in managing analytics operations and leading teams to enhance customer engagement through advanced analytics tools.

Highest-signal resume keywords

Commercial Advanced AnalyticsAI Use Case ManagementPython ProficiencySQL ProficiencyCloud Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningStatistical AnalysisBusiness IntegrationData Requirements Definition

Soft Skills

LeadershipCollaborationCommunication

Tools & Technologies

DatabricksAzure MLAWS ML ToolingVeevaIQVIA

Industry Keywords

PharmaceuticalBiotechCommercial Data AssetsSpecialty PharmacyClaims Data

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQL

About the role

Key responsibilities & impact

Serve as Commercial PoC in defining and prioritizing the roadmap of commercial advanced analytics and AI use cases
Own the advanced analytics roadmap and business integration for better customer engagement model
Prioritize and manage the Commercial advanced-analytics and AI use-case pipeline
Define business, data, and success requirements for Commercial models and AI tools
Provide commercial validation and business acceptance during enterprise-run testing
Own the day-to-day advanced analytics operations by serving as intake for Commercial leadership requests

Requirements

What you’ll need

Bachelor's degree in a quantitative field such as statistics, data science, computer science, or engineering; advanced degree (MS or PhD) preferred
15+ years in pharmaceutical or biotech commercial advanced analytics
Fluency with core commercial data assets — specialty pharmacy / hub, claims (e.g., IQVIA, Symphony), CRM / Veeva, call and activity, and consent data
Experience partnering with technical teams to bring machine learning and AI-driven tools into production commercial workflows
Demonstrated experience building, leading, and developing analytics or data science teams
Hands-on proficiency in Python and SQL
Experience with cloud data and machine learning platforms (e.g., Databricks, Fabric, Azure/AWS ML tooling)

Benefits

Comp & perks

Flexible paid time off
Medical, dental, vision and life/disability insurance
401(k) offerings (i.e., traditional, Roth, and employer match)
Additional voluntary benefits like supplemental life insurance, legal services
Mental health benefits through Employee Assistance Program for employees and their family