Digital Product Manager, Strategy and Innovation

Digital Product Manager, Strategy and Innovation Digital Product Manager to join the AI & Data Lab Product Management Team, focused on validating high‑potential AI and data‑driven business opportunities before major investment. The role operates at the intersection of business strategy, AI product discovery, data readiness, technical feasibility, experimentation, and enterprise transformation. What you will do Partner with business leaders, scientists, data scientists, ML engineers, data engineers, software engineers, architects, and functional experts to identify meaningful problems, shape AI‑enabled opportunity hypotheses, run rapid validation cycles, and generate evidence‑based recommendations for investment decisions. Must understand how AI products are built, validated, deployed, monitored, and scaled in complex enterprise environments. Responsibilities Identify, frame, and validate AI‑enabled business opportunities across Amgen, translating transformation themes into problem statements, hypotheses, user needs, data requirements, success metrics, and validation plans. Evaluate data foundations, system integrations, architecture patterns, model capabilities, security controls, and operational support to move concepts to scalable solutions. Collaborate with technical teams to shape solution concepts, understand trade‑offs, and identify dependencies early in validation. Design and execute rapid discovery sprints, prototypes, pilots, user research, and experiments to assess desirability, feasibility, viability, value, and risk. Assess how LLMs, AI agents, machine learning models, NLP, automation, knowledge retrieval, analytics, and intelligent workflow tools can improve productivity, decision quality, scientific discovery, operational efficiency, and workforce effectiveness. Develop product requirements covering UX, data availability, model performance, output quality, explainability, reliability, latency, integration needs, governance, and ongoing measurement. Synthesize findings into product recommendations, opportunity briefs, technical feasibility assessments, business cases, and executive‑ready narratives. Maintain a portfolio of AI opportunity experiments across discovery, prototype, pilot, and scale‑readiness stages, tracking progress, risks, assumptions, evidence, data dependencies, architecture implications, and decision points. Ensure validation efforts consider responsible AI, data privacy, model risk, cybersecurity, compliance, regulatory considerations, human oversight, change management, and enterprise scalability. Facilitate workshops, discovery sessions, prioritization discussions, technical feasibility reviews, UX design, process mapping, and decision forums; communicate complex AI and data concepts in a clear, business‑oriented way. What we expect of you The Digital Product Manager we seek will have the following qualifications. Basic Qualifications Doctorate degree OR Master's degree and 2 years of Experience in Information Systems, Technology, Product, Digital, AI, Data, Business Transformation, or related field OR Bachelor's degree and 4 years of similar experience OR Associate's degree and 8 years of similar experience OR High school diploma / GED and 10 years of similar experience Preferred Qualifications 4+ years of product management, product strategy, innovation, consulting, or digital transformation experience. 2+ years with AI, machine learning, data products, automation, LLMs, agents, NLP, analytics, or enterprise AI solutions. Working knowledge of AI product development, including discovery, prototyping, model evaluation, deployment, monitoring, and iteration. Familiarity with generative AI, LLMs, retrieval‑augmented generation, AI agents, prompt engineering, model orchestration, NLP, predictive analytics, or intelligent automation. Understanding of data architecture concepts, including pipelines, lakes, warehouses, APIs, metadata, master data, governance, and quality. Familiarity with enterprise AI platforms, MLOps, model lifecycle management, responsible AI practices, and AI governance. Ability to partner with technical teams to assess architecture, integration complexity, platform fit, security implications, and scalability. Experience running product discovery, design thinking, lean startup, rapid prototyping, experimentation, pilots, or proof‑of‑concept 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. Familiarity with biotech, pharmaceutical, R&D, manufacturing, medical, or enterprise workflows. Strong presentation and storytelling skills, including communicating technical recommendations to senior leaders. Hands‑on ability to analyze user feedback, usage data, workflow metrics, model outputs, experiment results, or AI product performance. Comfort working in fast‑paced, cross‑functional environments where priorities evolve quickly. Benefits Comprehensive employee benefits package, including retirement and savings plan, group medical, dental, and vision coverage, life and disability insurance, and flexible spending accounts. Discretionary annual bonus program. Stock‑based long‑term incentives. Award‑winning time‑off plans. Flexible work models where possible (refer to the Work Location Type). Equal Opportunity Statement Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We provide reasonable accommodations for individuals with disabilities. Please contact us to request accommodation. Application Deadline Amgen does not have an application deadline for this position and will continue accepting applications until sufficient candidates are identified or the role is filled. Sponsorship Sponsorship for this role is not guaranteed. #J-18808-Ljbffr