Senior Digital Product Manager (AI)

Career Category Strategy and Innovation Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Role Overview We are seeking a Digital Product Manager, to join the AI & Data Innovation Lab Product Management Team. This role is focused on rapidly validating high-potential AI and data-driven business opportunities before major investment, helping Amgen determine which AI initiatives should be scaled, refined, paused, or redirected. The ideal candidate combines strong product leadership, technical fluency, operational rigor, and team-building experience. This candidate must be equally effective with senior business stakeholders, product and engineering teams, and cross-functional partners for AI delivery excellence. What You’ll Do Shape a high-accountability, high-collaboration culture focused on quality, speed, and business impact. Serve as a bridge between US business teams and global delivery teams to maintain momentum across time zones. Ensure work is clearly translated, prioritized, and handed off so teams can execute with minimal delay. Facilitate workshops, discovery sessions, prioritization discussions, technical feasibility reviews, user experience design, process mapping, and decision forums. Communicate complex AI and data concepts in a clear, business-oriented way for senior leaders and non-technical stakeholders. Use data, stakeholder feedback, and operational insights to inform prioritization and continuous improvement. Identify, frame, and validate AI-enabled business opportunities across Amgen. Translate broad transformation themes into clear problem statements, testable hypotheses, user needs, data requirements, success metrics, and validation plans. Ensure validation efforts consider responsible AI, data privacy, model risk, cybersecurity, compliance, regulatory considerations, human oversight, change management, and enterprise scalability from the earliest stages of discovery. Provide product ownership for AI and digital solutions within Agile delivery models. Ensure requirements, acceptance criteria, and dependencies are clearly defined to support high-quality delivery. Work closely with engineering, data science, and technical teams to align on scope, tradeoffs, and execution path. Introduce scalable mechanisms, tools, and operating rhythms that improve speed, transparency, and predictability. Provide clear, decision-ready updates to leadership on progress, risks, and outcomes. Basic Qualifications Experience in leading products, technical engineering solutions and tracking the success of the product, and leading technical delivery execution excellence. Strong technical fluency and ability to collaborate with data scientists, and engineering teams. Excellent critical thinking, problem solving, and communication skills, Master’s degree and 4 years of Information/Tech Systems experience/Engineering OR Bachelor’s degree and 6 years of Information/Tech Systems experience/Engineering OR Diploma and 10 years of Information/Tech Systems experience/Engineering experience Preferred Qualifications 6+ years of product management (or related) experience; 4+ years in AI/ML or data-driven products. Consulting experience, with demonstrated ability to structure and solve complex business problems. Experience conducting cross-industry landscape assessments to identify how AI is being leveraged to address shared problem spaces and uncover macro-level trends and opportunities Experience with AI platforms, MLOps, or enterprise AI architecture. Familiarity with AI (e.g., LLMs, agents, NLP) and ML productization at scale. Familiarity with biotech workflows (e.g., lab automation, computational biology, clinical data, etc). Demonstrated ability to operate effectively in high-ambiguity environments, independently frame complex problems, make sound recommendations with incomplete information, and drive alignment across stakeholders with competing priorities. Demonstrated experience leading AI or data products through discovery, validation, investment decision, and scale Experience establishing and leading product discovery and experimentation approaches across multiple complex initiatives Ability to evaluate AI opportunities across desirability, feasibility, viability, value, risk, scalability, and data readiness. Experience developing business cases, opportunity assessments, technical feasibility summaries, executive narratives, or investment recommendations. Hands-on ability to analyze user feedback, usage data, workflow metrics, model outputs, experiment results, or AI product performance. .