Senior Director, Business Insights and Analytics

Role Summary

Reporting to the Chief Commercial Officer, the Senior Director, Business Insights and Analytics will shape the company's data-driven decision-making capabilities. You will lead the development of an analytics function to support the launch of our first medicine, ESK-001, and the long-term commercial strategy. This role involves building and leading analytics infrastructure, leveraging data to optimize business processes, guide strategic decisions, and measure the effectiveness of our commercial and clinical initiatives. Location preference: South San Francisco, CA; onsite Tuesday–Thursday, with remote options on other days.

Responsibilities

• Analytics Strategy & Capability Building: Define and implement a scalable analytics strategy to support launch readiness, lifecycle management, and commercial excellence.
• Analytics Strategy & Capability Building: Build and lead high-performing teams across forecasting, insights, market research, and advanced analytics.
• Analytics Strategy & Capability Building: Drive the adoption of analytics across the organization and elevate data-driven decision-making culture.
• Launch Insights & Market Research: Lead the generation of actionable insights to inform launch strategy, including customer segmentation, market landscape assessments, and stakeholder research (HCP, patient, payer).
• Launch Insights & Market Research: Translate insights into strategic recommendations to guide clinical, marketing, and access decisions.
• Forecasting & Commercial Planning: Oversee forecasting for pipeline and in-line assets across multiple indications and geographies.
• Forecasting & Commercial Planning: Develop scenario models and sensitivity analyses to inform strategic planning and resource allocation.
• Advanced Analytics & AI: Leverage AI/ML and advanced analytics (e.g., predictive modeling, patient journey analytics) to generate forward-looking insights and optimize commercial performance.
• Data Infrastructure & Business Intelligence: Lead the design and implementation of scalable data infrastructure and governance to support real-time reporting, analytics, and insight generation.
• Data Infrastructure & Business Intelligence: Integrate multiple data sources (market research, secondary, claims, RWE) to deliver executive-level dashboards and strategic insights.
• Cross-Functional Collaboration: Partner with Commercial, Market Access, Medical Affairs, R&D, Finance, and Supply Chain teams to align analytics with business strategy and operational priorities.
• Cross-Functional Collaboration: Lead enterprise-level data initiatives, including Master Data Management and cross-functional analytics platforms.
• Portfolio & Lifecycle Strategy: Inform portfolio decisions across the development continuum—TPP refinement, indication prioritization, launch planning, and post-launch optimization.
• Executive Leadership & Influence: Serve as a strategic advisor to the CCO and executive leadership team on key commercial and investment decisions.
• Executive Leadership & Influence: Represent the analytics function in senior forums, shaping strategy through data-driven recommendations.

Qualifications

• Required: BA or BS (MS or MBA preferred) with 10+ years of data analysis, decision support, market research, and forecasting experience within the pharmaceutical, biotech, or healthcare sector.
• Demonstrated ability to think strategically while also able to act decisively and tactically.
• Strong project management skills and ability to work to deadlines successfully managing multiple business-driven data related initiatives.
• Understanding of the insight and data landscaping as it pertains to Marketing, Market Access and Medical Affairs and across the brand lifecycle.
• Demonstrated success working with Digital / Technology teams to build future capabilities that are fit for purpose, effective and differentiating.
• Practical experience with implementing and optimizing AI technologies in biotech or pharmaceutical industry.

Skills

• Strong analytical and quantitative skills with experience in data analysis, forecasting, market research, and decision support.
• Strategic thinking with the ability to translate data into actionable recommendations.
• Leadership and people management, with experience building and leading analytics teams.
• Proven ability to collaborate with Digital/Technology teams to build future capabilities and data platforms.
• Experience implementing AI technologies in biotech/pharmaceutical settings.

Education

• BA or BS required; MS or MBA preferred.