Director, Commercial Data Strategy

Olema Oncology•San Francisco, CA
•$220,000 - $240,000•Onsite

About The Position

The Director of Commercial Data Science reports to the SVP of Commercial Strategy and Operations and plays a pivotal role in Olema’s commercialization efforts. The position enables strategic decision-making by applying advanced data analytics and machine learning to optimize commercial performance. The Director works cross-functionally to develop the roadmap and strategic application of data science, including predictive analytics, AI, and machine learning, and turns complex datasets into actionable insights to enhance go-to-market strategies and omnichannel efforts, improve market access, and drive revenue growth. The role combines data science expertise with an understanding of the biotechnology industry, commercialization, market dynamics, and physician behavior. The successful candidate will work with large, multifaceted datasets, use statistical models, and communicate findings clearly to non-technical stakeholders. The position 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.
  • At least 10 years of relevant work experience, including at least 8 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.
  • Demonstrated 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.
  • Strategic synthesis skills: connect disparate information and identify insights relevant to business decisions.
  • Structured problem-solving skills: frame ambiguous questions as clear hypotheses, workstreams, and decision pathways, applying consulting-style rigor.
  • Ability to collaborate across disciplines and build 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 preferred.

Responsibilities

  • Work with stakeholders across 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 inform go-to-market strategies, improve physician and patient experiences, improve market access, and drive revenue growth.
  • Analyze claims, sales, CRM, marketing, and other large datasets to identify insights and provide actionable recommendations to cross-functional teams.
  • Design and execute experiments and customer behavior analyses to assess commercial strategies 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 improve field team effectiveness and identify high-value customers or market segments.
  • Identify opportunities to use AI to automate work.
  • Create and present visualizations and reports for 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.

Benefits

  • Competitive compensation and benefits package.
  • Equity.
  • Bonus.
  • An open, flexible, and friendly work environment intended to empower employees and support long-term career development.
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