
10.000+ funcionários
Fundada em 1980
🏥 Saúde
🧬 Biotecnologia
💊 Farmacêutico
💰 $28.500.000.000 Post-IPO Debt em 2022-12
Healthcare • Biotechnology • Pharmaceuticals
A Amgen está comprometida a liberar o potencial da biologia para pacientes que sofrem de doenças graves, descobrindo, desenvolvendo, fabricando e fornecendo terapias humanas inovadoras. Esta abordagem começa utilizando ferramentas como genética humana avançada para desvendar as complexidades das doenças e entender os fundamentos da biologia humana.
🕒 6 dias atrás
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $171.556 - $232.105 / ano
⏰ Tempo Integral
🟠 Sênior
👔 Diretor
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

10.000+ funcionários
Fundada em 1980
🏥 Saúde
🧬 Biotecnologia
💊 Farmacêutico
💰 $28.500.000.000 Post-IPO Debt em 2022-12
Healthcare • Biotechnology • Pharmaceuticals
A Amgen está comprometida a liberar o potencial da biologia para pacientes que sofrem de doenças graves, descobrindo, desenvolvendo, fabricando e fornecendo terapias humanas inovadoras. Esta abordagem começa utilizando ferramentas como genética humana avançada para desvendar as complexidades das doenças e entender os fundamentos da biologia humana.
• Serve as the technology leader for Agile teams supporting Coverage Pricing Intelligence, CapAI, and Pricing capabilities • Define, own, and execute the strategic product roadmap and investment priorities • Translate business objectives into prioritized capabilities, release plans, and measurable business outcomes • Partner with business leaders, engineering teams, enterprise architects, and cross-functional stakeholders • Drive PI Planning, backlog refinement, sprint planning, release planning, and dependency management • Establish and monitor OKRs and delivery performance metrics • Use data-driven decision-making to prioritize investments and improve product capabilities and customer experience • Identify opportunities for modern data platforms, machine learning, Generative AI, and emerging technologies • Lead platform operations, production support, incident management, root cause analysis, corrective actions, and operational improvements • Collaborate on secure, resilient, cloud-based data and AI solutions aligned with architecture, governance, and compliance standards • Lead, coach, and develop cross-functional team members
• One of the following: Doctorate degree and 3 years of Information Systems experience; Master’s degree and 7 years; Bachelor’s degree and 9 years; Associate’s degree and 12 years; or high school diploma/GED and 14 years • Minimum 3 years of experience directly managing people and/or leading teams, projects, programs, or resource allocation • Experience leading enterprise technology products or platforms supporting analytics, pricing, commercial operations, business intelligence, or AI-enabled capabilities • Strong technical understanding of Databricks, Python, SQL, Apache Spark, cloud-native data engineering architectures, and scalable data pipelines • Experience delivering cloud-based technology solutions on AWS • Experience delivering data science, machine learning, and AI-powered products through production deployment and adoption • Understanding of Generative AI, LLMs, RAG, AI agents, prompt engineering, model orchestration, evaluation frameworks, and responsible AI • Experience managing the complete product lifecycle • Experience leading multidisciplinary product teams • Understanding of enterprise data architecture, governance, security, privacy, and regulatory requirements • Technical fluency to evaluate solution designs and guide architectural decisions • Ability to influence stakeholders and drive cross-functional alignment • Experience with Agile product organizations using SAFe methodologies
• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions • Group medical, dental and vision coverage • Life and disability insurance • Flexible spending accounts • A discretionary annual bonus program • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible • Work/life balance • Career development opportunities • Financial plans with opportunities to save towards retirement or other goals
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