Director, Commercial Data Strategy

Olema Oncology•Boston, MA

10h•$220,000 - $240,000•Onsite

About The Position

Olema Oncology is seeking a Director of Commercial Data Science to support its commercialization efforts through strategic application of data science, predictive analytics, artificial intelligence, and machine learning. Reporting to the SVP of Commercial Strategy and Operations, this role will develop the roadmap for commercial data science and turn complex datasets into actionable insights that strengthen go-to-market strategies and omnichannel efforts, improve market access, and drive revenue growth. The position combines data science expertise with an understanding of biotechnology or pharmaceutical commercialization, market dynamics, and physician behavior. The Director will work across functions, analyze large and multifaceted datasets, develop statistical and predictive models, and communicate findings clearly to non-technical stakeholders. 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 biotech 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.
Ability to synthesize disparate information and identify insights that matter to business decisions.
Ability to structure ambiguous questions into hypotheses, workstreams, and decision pathways and apply rigor to problem solving.
Ability to work effectively across disciplines and develop partnerships across Commercial, Market Access, Medical Affairs, Finance, and other functions.
Comfort working in a fast-moving environment where information is incomplete and priorities evolve.
High integrity, including rigor, objectivity, sound judgment, and appropriate challenge in strategic decision-making.

Nice To Haves

Advanced degree.

Responsibilities

Collaborate with Insights & Analytics, Marketing, Market Access, Medical Affairs, and Sales stakeholders 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 inform go-to-market strategies, improve physician and patient experiences and market access, and drive 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 experiments and customer behavior analyses to assess commercial strategy effectiveness and identify opportunities to refine the commercial approach.
Apply machine learning and statistical modeling techniques 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 leverage 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.