Associate Director Jobs

About The Position

Requirements

• Master’s or PhD in Business Analytics, Statistics, Economics, Computer Science, Data Science, or a related quantitative field, with 7+ years of hands-on experience in pharmaceutical analytics disciplines; alternatively, a bachelor’s degree in one of these fields with 10+ years of similar hands-on experience.
• Proficiency in Python, SQL, notebooks such as Jupyter, Hex, or CoLab, and cloud IDEs such as Databricks, Snowflake, or BigQuery.
• Working proficiency with BI tools such as Tableau or Power BI to turn analytical outputs into production-ready insights for executive and business audiences.
• Broad knowledge of pharmaceutical commercial functions, including marketing, sales and other field functions, market access, patient services, trade, and distribution, and of the data and technology environments that support them.
• Excellent communication and interpersonal skills, including the ability to influence cross-functional and executive stakeholders through data-driven storytelling.
• Demonstrated success driving cross-functional initiatives from ideation through production.
• Experience managing analysts, consulting partners, or offshore analytics teams.

Nice To Haves

• Deep expertise in pharmaceutical payer dynamics, patient treatment experience and operations, and/or trade and distribution.
• Extensive experience working with HUB/patient services data, specialty pharmacy data, and patient journey analytics.

Responsibilities

• Act as a strategic partner to stakeholders in Value & Access, Treatment Experience & Patient Operations, Marketing, Finance, and Trade & Distribution; frame business questions as analytical problems aligned with brand objectives.
• Understand commercial strategies, prioritize analytical use cases by expected business impact, and translate business needs into measurement plans and actionable analytical solutions.
• Partner with Value & Access and Finance to assess how payer scenarios affect demand/volume trade-offs and revenue elasticity for forecasting and strategic decisions.
• Analyze industry and internal business performance and market data to answer business questions, identify trends, and uncover optimization opportunities across in-line and pre-launch brands.
• Own the payer mix model to assess the impact of payer coverage, utilization management, restrictions, and payer mix on demand and forecast assumptions.
• Build and deploy measurement frameworks and analytics, from synthesis of business needs and requirements through validation, production deployment, and monitoring.
• Collaborate with Business Insights & Analytics Data Science partners on measurement studies, experiments, and predictive capabilities for payer, access, patient treatment journey, and trade and distribution analytics.
• Lead payer and access customer analytics, including performance by plan, pull-through, and plan-level enablers or barriers.
• Identify patient-journey trends and assess opportunities and barriers to optimizing care.
• Analyze trade and distribution trends at corporate, Specialty Pharmacy, and IDN levels, including shipments and dispenses.
• Partner with BI and IT teams to design dashboards and self-service tools, standardize metrics, consolidate reports, and automate recurring reporting and analytics.
• Work with data strategy and governance teams to ensure consistent, standardized metric definitions and use through approved data foundations; promote stakeholder understanding and governance best practices.
• Translate analytical results into compelling narratives and recommendations that secure stakeholder buy-in and drive action toward intended outcomes and commercial plans.
• Communicate complex concepts to partners across market access, patient treatment experience, trade and distribution, finance, and legal/compliance.
• Manage analysts, consulting partners, or offshore analytics teams.

Benefits

• Equity in the form of stock options and/or restricted stock units.
• Comprehensive health insurance coverage.
• Dental insurance coverage.
• Vision insurance coverage.
• Life insurance coverage.
• Disability insurance coverage.
• 401(k) retirement benefits with employer match.
• Learning stipends.
• Wellness stipends.
• Paid time off.