Director, Commercial Data Strategy

Olema Oncology•Boston, MA

6d•Onsite

About The Position

The Director of Commercial Data Science will play a pivotal role in Olema’s commercialization efforts by enabling strategic decision-making through advanced data analytics and machine learning. Reporting to the SVP of Commercial Strategy and Operations, this person will work cross-functionally to develop the roadmap and strategic application of data science, including predictive analytics, AI, and machine learning. The role turns complex datasets into actionable insights to enhance go-to-market strategies and omnichannel efforts, improve market access, and drive revenue growth. It combines data science with an understanding of the biotech industry, commercialization, market dynamics, and physician behavior. The role is based in either the San Francisco or Boston office and requires approximately 20% travel.

Requirements

Bachelor’s degree in Marketing, Business, Life Sciences, or a related field.
10 or more years of relevant work experience, including 8 or more years in data science or advanced analytics focused on commercial applications in the biotechnology or pharmaceutical industry.
Strong understanding of biotechnology or pharmaceutical market dynamics, patient access, healthcare system intricacies, and regulatory requirements.
Ability to develop and implement strategic marketing initiatives using a data-driven approach and strong analytical skills.
Excellent verbal and written communication skills, including the ability to convey complex information clearly and empathetically to patients and healthcare providers.
Proven ability to work effectively across functions and lead collaborative initiatives with internal and external stakeholders.
Exceptional organizational skills and experience managing multiple projects, timelines, and priorities in a fast-paced environment.
Approximately 20% travel is required.
Work from either the San Francisco or Boston office.

Nice To Haves

Advanced degree preferred.
Experience or attributes including strategic synthesis, structured problem solving, cross-functional collaboration, comfort with ambiguity, and high integrity.

Responsibilities

Collaborate with stakeholders in Insights & Analytics, Marketing, Market Access, Medical Affairs, and Sales to understand business objectives and develop the roadmap and strategic application of data science.
Provide data-driven insights and strategic recommendations to support commercialization efforts.
Develop and maintain advanced analytical models to support commercial decision-making and inform go-to-market strategies, physician and patient experiences, market access, and revenue growth.
Analyze claims, sales, CRM, marketing, and other large datasets to uncover insights and provide actionable recommendations to cross-functional teams.
Design and execute experimentation and customer behavior analyses to assess commercial strategy effectiveness and identify opportunities to refine the commercial approach.
Apply machine learning and statistical modeling to predict trends, physician behavior, market dynamics, and sales performance.
Build and refine predictive models for local sales planning, market opportunity identification, and resource allocation.
Use advanced algorithms to optimize field team effectiveness and identify high-value customers or market segments.
Identify opportunities to use AI to automate work.
Create and present clear visualizations and reports to senior leadership, translating complex analyses into actionable insights and business strategies.
Provide regular updates and strategic recommendations based on data trends and performance metrics.
Develop and implement automated reporting solutions to improve operational efficiency.
Work with IT to ensure data pipelines, tools, and dashboards are efficient, scalable, and aligned with commercial needs.