Dir, Patient Intelligence Lead

Merck; New Jersey; On-site; USD 150,000 - 230,000; Full time

Job summary

Merck is seeking a senior analytics leader to design, develop, and deploy predictive patient analytics models that scale across brands. You will build modular analytics capabilities and oversee storytelling through data visualizations for commercial, marketing, and access stakeholders.

You will partner with Clinical, Commercial Technology & Solutions, Brand teams, and the Patient CoE to ensure robust data infrastructure and governance.

Qualifications

• Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, CS, Economics, Math).
• 10+ years in advanced analytics, data science, or predictive modeling in pharma/healthcare.
• Hands-on with patient-level healthcare data (claims, EHR/EMR, Rx data).

Responsibilities

• Lead design, development, and deployment of predictive analytics models and products.
• Architect scalable, modular analytics capabilities for multiple brands.
• Oversee translation of models into intuitive visualizations for stakeholders.
• Partner with Clinical, Commercial, and Brand teams to ensure data governance and quality.
• Mentor data professionals and establish analytics best practices.

Skills

Predictive analytics

Data visualization

Cross-functional leadership

Data storytelling

Data analysis

Productization

Stakeholder communication

Project management

Cloud data architectures

Education

Bachelor's degree in quantitative field

MS/PhD in data science or related

Tools

Visualization tools

AWS/GCP

Job description

Primary Responsibilities:

• Predictive Analytics & Modeling: Lead the design, development, and deployment of predictive patient analytics models and products, focusing on critical milestones in the patient journey.
• Modular Capability Build: Architect and build scalable, modular analytics products that can be seamlessly adapted and deployed across various brands within our company portfolio, rather than relying on bespoke, one-off analyses.
• Data Visualization & Storytelling: Oversee the translation of complex predictive models into intuitive data visualizations and actionable insights, ensuring they are effectively communicated to commercial, marketing, and access stakeholders.
• Cross-Functional Data Leadership: Partner closely with our Commercial Technology & Solutions, Market Engagement, Commercial AI Capabilities, Patient CoE, and Brand teams to ensure the right data infrastructure, governance, and quality are in place to support advanced analytics.
• Team & Capability Development: Cultivate a high-performing analytics function within the DHH Patient Capabilities team, mentoring data professionals and establishing best practices for patient analytics.

Required Experience and Skills:

• Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, Mathematics).
• 10+ years of relevant experience in advanced analytics, data science, or predictive modeling within the pharmaceutical, healthcare, or related industries.
• Extensive hands‑on experience working with patient‑level healthcare data sets (e.g., claims data, EHR/EMR, specialty pharmacy data, Rx/fulfillment data).
• Proven ability to productize analytics‑translating ad‑hoc models into scalable, repeatable data products or modular capabilities.
• Strong proficiency in data visualization tools and translating complex data into strategic business recommendations for non‑technical leadership.
• Demonstrated leadership experience, with the ability to manage technical resources and drive cross‑functional alignment.

Preferred Experience and Skills:

• Advanced degree (e.g., MS or PhD in Data Science, Statistics, or related quantitative field).
• Deep expertise in machine learning (ML) and artificial intelligence (AI) applications specific to patient behavior and commercial healthcare analytics.
• Prior experience working in agile product teams, collaborating closely with product managers and engineers.
• Familiarity with cloud-based data environments and modern data architecture (e.g., AWS, GCP).

Required Skills:

• Artificial Intelligence (AI)
• Artificial Intelligence (AI)
• Building Capability
• Business Analysis
• Clinical Leadership
• Competency Management
• Cross-Functional Project Management
• Customer Communications
• Data Analysis Tools
• Data Science
• Data Storytelling
• Data Visualization
• Data Visualization Tools
• Demand Management
• Healthcare Analytics
• Innovation
• Learning Algorithms
• Liaison Work
• Policy Compliance
• Predictive Analytics
• Procedure Development
• Product Management Leadership
• Requirements Management
• Sourcing and Procurement
• Stakeholder Relationship Management {+ 2 more}

US and Puerto Rico Residents Only:

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected vete