Role Summary
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 enterprise tools that accelerate scientific discovery, streamline R&D workflows, and enable educated decision-making across a complex biotech environment. This is a high-ownership role at the intersection of AI innovation and biotech transformation. Location: Thousand Oaks, CA (Hybrid).
Responsibilities
- 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.
Qualifications
- Required: Doctorate degree and 2 years of AI Adoption experience OR Master’s degree and 4 years of AI Adoption experience OR Bachelor’s degree and 6 years of AI Adoption experience OR Associate’s degree and 10 years of AI Adoption experience OR High school diploma / GED and 12 years of AI Adoption experience
- Preferred: Experience in AI/ML product leadership or product adoption roles
- Preferred: Prior experience leading enterprise adoption of new technologies, technical product evangelism or organizational training programs
- Preferred: Experience in scaling internal tools or platforms to thousands of enterprise users.
- Preferred: Has served as a trusted partner with senior leadership, with capability of challenging and influencing departmental objectives to realize the benefit of AI
- Preferred: Familiarity with regulatory requirements and data privacy considerations in the pharmaceutical or biotech sector.
- Preferred: Strong background of developing and driving AI strategies that align with organizational goals across business functions.