4 дня назад
Associate Director, Commercial Data Science (AI)
194 636 - 263 331$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate Director, Commercial Data Science (AI): Defining and executing Amgen’s Commercial AI and Advanced Analytics strategy while leading teams to develop scalable AI/ML products and enterprise analytics capabilities with an accent on commercial strategy, portfolio prioritization, and business adoption. Focus on guiding predictive modeling, customer targeting, causal inference, optimization, Generative AI, model governance, and production deployment.
Location: Thousand Oaks, California, United States; flexible commuter role with on-site work required at least 2 days per week
Salary: $194,636.40–$263,331.60 USD annually
Company
is a biotechnology company developing and delivering medicines for serious illnesses across oncology, inflammation, general medicine, and rare disease.
What you will do
- Define and execute the Commercial AI and Advanced Analytics strategy across commercial business units.
- Identify and prioritize high-value AI and data science opportunities based on business impact, strategic alignment, readiness, and return on investment.
- Lead portfolios of AI, machine learning, Generative AI, and advanced analytics initiatives from strategy through 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
- Must work on-site in Thousand Oaks, California, at least 2 days per week.
- Doctorate plus 3 years, master’s degree plus 7 years, bachelor’s degree plus 9 years, associate’s degree plus 12 years, or high school diploma/GED plus 14 years of experience in a quantitative field.
- At least 3 years of people management or leadership experience leading teams, projects, programs, or resource allocation.
- Deep knowledge of AI, machine learning, Generative AI, optimization, causal inference, and modern data science methodologies.
- Experience with cloud-based AI platforms such as Databricks, AWS, Azure, or similar technologies, plus MLOps, model governance, and production deployment.
- Hands-on programming experience with Python, R, Scala, Java, or similar languages, with the ability to guide technical solution design.
Nice to have
- Bio/pharmaceutical commercial experience.
- Experience with commercial strategy, omnichannel engagement, customer targeting, market access, patient analytics, or field effectiveness.
- Experience working with claims, specialty pharmacy, EMR, and commercial healthcare datasets.
- Five or more years leading cross-functional AI, analytics, or data science initiatives with measurable business outcomes.
Culture & Benefits
- Collaborative, innovative, and 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 paid time off.
- Career development opportunities and flexible work models where applicable.
Hiring process
- Applications are accepted until a sufficient number of candidates is received or a candidate is selected.
- Sponsorship for this role is not guaranteed.
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