
10.000+ funcionários
Fundada em 1980
🧬 Biotecnologia
💊 Farmacêutico
🔬 Ciência
💰 $28.500.000.000 Post-IPO Debt em 2022-12
Biotechnology • Pharmaceuticals • Science
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.
🕒 2 dias atrás
🐊 Florida – Remoto
💵 $192.613 - $260.594 / ano
⏰ Tempo Integral
🔴 Especialista
👔 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
🧬 Biotecnologia
💊 Farmacêutico
🔬 Ciência
💰 $28.500.000.000 Post-IPO Debt em 2022-12
Biotechnology • Pharmaceuticals • Science
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.
• Foster a culture of innovation, identify and implement data and analytics solutions that drive value to our stakeholders • Co-ordinate end-to-end service delivery from the acquisition and cataloguing of data to the ingestion, quality control, and readiness of that data for consumption into analytics published by Global Commercial Capabilities & Innovation (GCCI) • Create roadmaps with Technology, AI&D, and Commercial leaders to implement and maintain next generation of data and analytics platforms and technologies • Plans closely with Technology and AI&D leadership across the Enterprise to drive development of new capabilities and/or continuous improvement anywhere commercial data is required (i.e. product launches, field execution, etc) • Develops cross-functional governance plans to ensure executive alignment of technology prioritization for GCCI. This includes active relationship-building and engagement with leadership at VP and ED level and down. • Conducts joint-planning with Technology and business owners to mature and evolve the operating model using the Scaled Agile Framework (SAFe) • Manages execution of initiatives with CEO staff level visibility such as AI Data Scaffolding, Performance Analytics, and reporting platform buildout within the Neural Nexus initiative • Conducts interdependency analysis across multiple product teams in the solution train to ensure coordinated value delivery • Manages a team of Product Owners that drive prioritization and delivery execution across the portfolio • Drive the design, development, deployment, and sustainment of scalable data and analytics platforms and reusable accelerators that enable and increase the value of application and product teams
• Doctorate degree and 4 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR • Master’s degree and 7 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR • Bachelor’s degree and 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience • Experience leading data and analytics product teams on enterprise platforms such as Databricks • Experience with insights generation with commercial data sets across all Therapeutic Areas for US brands • Experience working in an environment requiring strong security controls and de-identification of data • Experience leading teams in an agile operating model • Providing oversight for teams that design and deploy technology capabilities that integrate commercial data across the enterprise • Experience in developing and implementing technology roadmaps and strategies, including data strategies, technology development and rationalization, and end user experience • Experience managing full DevOps according to structured ITIL / Service Ownership standards • Good-to-Have Skills Experience with semantic modeling, knowledge graphs, and context engineering • Experience with implementation and tuning of commercial models on Large Language Models (e.g. Databricks AI/BI Genie, OpenAI, Claude) • Familiarity with low-code, no-code test automation software • Strong problem-solving, analytical, and critical thinking skills to address complex data challenges applying AI/ML frameworks (e.g. LLM for GenAI, Agent Framworks)
• 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, or for field sales representatives, a sales-based incentive plan • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible.
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