Digital Product Sr Manager (AI Adoption Lead) - Hybrid Thousand Oaks, CA

Digital Product Sr Manager (AI Adoption Lead)

Location: Thousand Oaks, California (Hybrid)

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 Sr Manager (AI Adoption Lead) within Enterprise AI & Data Science to lead enterprise adoption of AI products and platforms across Amgen. You’ll drive adoption and growth of a suite of resourceful enterprise tools that accelerate scientific discovery, streamline R&D workflows, and enable educated decision-making across a complex biotech environment. 

As a Digital Product Sr Manager – AI Adoption Lead, you will operate autonomously and cross-functionally—partnering with engineering, data scientists, software engineers and domain experts. You will translate the potential of LLMs, agent-based AI, and ML platforms into high-impact solutions for scientific users. This is a high-ownership role at the intersection of AI innovation and biotech transformation.

What You’ll Do

• Use Enterprise AI tools daily; staying abreast of innovative AI capabilities and features available within Amgen and the broader industry

• Engage directly with executives, scientists, and internal collaborators to deeply understand difficulties and validate possible AI solutions

• Educate, Train and Drive Adoption of Enterprise ChatGPT and Enterprise AI Platforms and Tools across Amgen, with particular emphasis on executives in Thousand Oaks, CA.

• Build and scale the AI operational support framework using the Amgen Service Desk, Executive Support teams, Champions Network and internal product team resources to support ChatGPT and AI products globally

• Partner with broader AI&Data teams (Solution Partners, AI/ML Platform Engineering, AI/ML Data Science) to provide ‘last mile delivery’, technical implementation guidance and adoption for AI&Data capabilities to enterprise consumers of AI across Technology and Business Functions.

• Act as a bridge between the AI product teams and consumers of the AI platforms, incorporating customer feedback and product capability gaps into the platform roadmap to deliver more value.

• Own and define adoption metrics across AI products, usage analytics, and model performance critical metrics; iterate based on data and feedback.

• Synthesize complex functional needs and translate them to define how AI platforms can solve current difficulties or evolve to meet enterprise business goals.

• Apply strong interpersonal skills to build partnerships across functions, fostering alignment and teamwork. Able to build trust with senior leaders through demos, pilots and value storytelling.

Basic Qualifications

• Doctorate degree and 2 years ofAI Adoption experience
  OR
  Master’s degree and 4 years of AI Adoption experience
  OR
  Bachelor’s degree and 6 years ofAI Adoption experience
  OR
  Associate’s degree and 10 years ofAI Adoption experience
  OR
  High school diploma / GED and 12 years of AI Adoption experience

Preferred Qualifications

• Experience in AI/ML product leadership or product adoption roles

• Prior experience leading enterprise adoption of new technologies, technical product evangelism or organizational training programs

• Experience in scaling internal tools or platforms to thousands of enterprise users.

• Has served as a trusted partner with senior leadership, with capability of challenging and influencing departmental objectives to realize the benefit of AI

• Familiarity with regulatory requirements and data privacy considerations in the pharmaceutical or biotech sector.

• Strong background of developing and driving AI strategies that align with organizational goals across business functions.