Amgen is looking to solve business problems within the OCMO function by leveraging AI and Machine Learning capabilities. The role aims to align AI capabilities with functional priorities, drive AI strategy and delivery, and achieve measurable business outcomes.
Requirements
- Doctorate degree and 4 years of AI, Machine Learning, or Data Science experience
- Masters degree and 7 years of AI, Machine Learning, or Data Science experience
- Bachelors degree and 9 years of AI, Machine Learning, or Data Science experience
- Advanced degree (e.g., Masters or PhD) in AI, Machine Learning, Data Science, or related field.
- At least 3 years of AI experience within the biopharma OCMO domain.
- 8+ years of experience working at the intersection of AI/ML and business functions, with a focus on delivering measurable outcomes.
- Hands-on experience with AI/ML tools, technologies, and platforms, as well as a solid understanding of data ecosystems.
Responsibilities
- Partner with broader AI&D and Lab teams (Alliances and Ecosystem, Digital Product Management, Lab Accelerator) to implement and validate AI solutions that solve critical challenges.
- Ensure successful delivery and adoption of AI solutions within the assigned function, driving measurable outcomes and enterprise scalability.
- Ability to prioritize and manage a business domain's technical portfolio of initiatives including defining ROI and NPV
- Direct experience identifying and modeling business architectures, use cases, and performing journey mapping exercises with business stakeholders
- Hands-on experience with AI/ML tools, technologies, and platforms, as well as a solid understanding of data ecosystems.
- Experience partnering with external technology providers and managing alliances to deliver enterprise-scale AI solutions.
- Strong track record of developing and driving AI strategies that align with organizational goals across functional areas.
Other
- Willingness to travel around 20%.
- 10+ years of leadership roles within pharmaceutical, biotech, or healthcare industries.
- Deep domain expertise in biopharma Medical, Regulatory, and Safety including direct experience working within these business functions.
- Demonstrated ability to lead multi-functional teams and manage complex initiatives in a matrixed organization.
- Experience influencing senior leadership and advocating for AI initiatives with non-technical stakeholders.
