Executive Director, Advanced Analytics & Data Science
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BeOne Medicines
San Mateo, CA (In Person)
Full-Time
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Job Description
General Description:
- The Executive Director of Advanced Analytics & Data Science is a senior leadership role at the forefront of BeOne's ambition to turn data, analytics, and AI into a competitive advantage.
The key responsibilities include:
- Strategic Analytics Leadership
- + Define and lead a compelling vision for advanced analytics, data science, and AI—directly shaping BeOne's strategic direction and commercial success.
- Data‑Driven Insights
- + Design and deploy sophisticated analytics frameworks—including segmentation, predictive modeling, promotional response, risk assessment, and patient journey analytics—to unlock growth and improve outcomes. + Serve as a strategic advisor to commercial leadership, influencing planning, market opportunity assessments, and product strategy with rigorous, insight‑led thinking.
- Cross‑Functional Collaboration
- + Partner closely with leaders across marketing, market access/HEOR, clinical, regulatory, finance, and sales to solve the company's most complex and high‑impact business challenges. + Collaborate with medical affairs and clinical trial teams to enhance program effectiveness, optimize resource allocation, and extend the value of analytics across the enterprise.
- Innovative Technologies & Methodologies
- + Lead the adoption and scaling of machine learning, AI, and GenAI analytical solutions to drive step‑change improvements in efficiency, effectiveness, and insight generation. + Stay at the forefront of innovation in oncology, life sciences, and analytics—ensuring BeOne continues to differentiate and lead in a rapidly evolving landscape.
- Thought Leadership
- + Build strong relationships with external partners, vendors, and key opinion leaders to accelerate innovation and expand BeOne's analytics ecosystem.
- Team Development & Organizational Impact
- + Recruit, mentor, and retain top analytics and data science talent, creating a high‑performance culture where people grow and thrive. + Define clear goals, KPIs, and value metrics to demonstrate the tangible business impact of analytics and AI initiatives. + Ensure analytics practices consistently meet the highest standards of ethics, compliance, and data integrity.
Experience:
- + 15+ years of experience in commercial analytics, including 5+ years leading data science and AI/ML initiatives within healthcare or life sciences + Proven experience working with oncology and/or rare disease datasets strongly preferred + 7+ years of leadership experience building, scaling, and leading high‑performing analytics teams in biotech or pharmaceutical environments + Deep, hands‑on expertise in data science, machine learning, statistical modeling + Demonstrated experience implementing and scaling generative and agentic AI analytical solutions in real‑world business settings + Strong business acumen with a track record of translating advanced analytics into strategic and operational impact + Experience partnering effectively with business stakeholders across clinical, medical affairs, regulatory, and enterprise functions.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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