2 дня назад
Associate Director, Commercial Data Science (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate Director, Commercial Data Science (AI): Defining and executing commercial AI and advanced analytics strategy while leading scalable AI/ML products and enterprise analytics capabilities with an accent on portfolio prioritization, predictive modeling, customer targeting, and responsible AI. Focus on translating commercial challenges into production-grade data products, guiding data science teams, and driving executive adoption and measurable business impact.
Location: Flexible commuter role to the Thousand Oaks, California office; on-site at least 2 days per week
Company
is a biotechnology company developing and delivering medicines across oncology, inflammation, general medicine, and rare disease.
What you will do
- Define and execute the Commercial AI and advanced analytics roadmap across business units.
- Identify and prioritize high-value AI and analytics opportunities based on business value, strategic alignment, readiness, and return on investment.
- Lead a portfolio of AI, machine learning, generative AI, and advanced analytics initiatives from strategy through production deployment and adoption.
- Provide technical oversight for predictive modeling, customer targeting, next-best-action, causal inference, optimization, and production-grade AI products.
- Partner with commercial, marketing, medical, digital, technology, data engineering, and external vendor stakeholders.
- Lead, coach, and develop data scientists while establishing technical standards, governance, and responsible AI practices.
Requirements
- Doctorate with 3 years, master’s degree with 7 years, bachelor’s degree with 9 years, associate degree with 12 years, or high school diploma/GED with 14 years of experience in a quantitative field.
- At least 3 years of people management or leadership experience directing teams, projects, programs, or resources.
- Experience leading cross-functional AI, analytics, or data science initiatives with measurable business outcomes.
- Deep knowledge of AI, machine learning, generative AI, optimization, causal inference, modern data science, MLOps, model governance, and production deployment.
- Experience with cloud-based AI platforms such as Databricks, AWS, Azure, or similar, plus programming experience in Python, R, Scala, Java, or similar languages.
- Ability to work on-site in Thousand Oaks, California at least 2 days per week.
Nice to have
- Bio/pharmaceutical commercial experience.
- Experience with omnichannel engagement, customer targeting, market access, patient analytics, field effectiveness, and healthcare data such as claims, specialty pharmacy, and EMR data.
- Experience influencing executive stakeholders and driving organizational change.
Culture & Benefits
- Collaborative, innovative, science-based work environment.
- Health, dental, vision, life, disability, and flexible spending benefits.
- Retirement and savings plan with company contributions.
- Discretionary annual bonus, stock-based long-term incentives, and award-winning time-off plans.
- Career development opportunities and flexible work models where applicable.
Hiring process
- No application deadline; applications remain open until a sufficient number of candidates is received or a candidate is selected.
- Sponsorship is not guaranteed.
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