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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. 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.
Let’s do this. Let’s change the world. We are seeking a Digital Product Manager, to join the AI & Data 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 Digital Product Manager will operate at the intersection of business strategy, AI product discovery, data readiness, technical feasibility, experimentation, and enterprise transformation. You will partner closely with business leaders, scientists, data scientists, machine learning engineers, data engineers, software engineers, architects, and functional experts to identify meaningful problems, shape AI-enabled opportunity hypotheses, run fast validation cycles, and generate evidence-based recommendations for investment decisions.
This role requires a strong product mindset combined with sufficient technical depth to evaluate whether AI and data opportunities are practical, scalable, measurable, and aligned to Amgen’s enterprise technology direction. The successful candidate will 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. Translate broad transformation themes into clear problem statements, testable hypotheses, user needs, data requirements, success metrics, and validation plans.
-
Evaluate whether proposed AI opportunities have the right data foundations, system integrations, architecture patterns, model capabilities, security controls, and operational support needed to move from concept to scalable solution.
-
Collaborate with data scientists, ML engineers, data engineers, software engineers, solution architects, platform teams, and cybersecurity partners to shape solution concepts, understand technical tradeoffs, and identify dependencies early in the validation process.
-
Design and execute rapid discovery sprints, prototypes, pilots, user research, and experiments to assess desirability, feasibility, viability, value, and risk. Use evidence to determine whether opportunities should advance, pivot, pause, or scale.
-
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 that account for user experience, data availability, model performance, output quality, explainability, reliability, latency, integration needs, governance, and ongoing measurement.
-
Synthesize findings from validation work into clear product recommendations, opportunity briefs, technical feasibility assessments, business cases, and executive-ready narratives. Help leaders make informed decisions about where to invest, scale, or stop.
-
Maintain a portfolio of AI opportunity experiments across stages of discovery, prototype, pilot, and scale-readiness. Track 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 from the earliest stages of discovery.
-
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.
We are all different, yet we all use our unique contributions to serve patients. The Digital Product Manager professional we seek has these qualifications.
Basic Qualifications:
Doctorate; or
Master’s degree and 2 years of Information Systems, Technology, Product, Digital, AI, Data, Business Transformation, or related experience; or
Bachelor’s degree and 4 years of Information Systems, Technology, Product, Digital, AI, Data, Business Transformation, or related experience; or
Associate’s degree and 8 years of Information Systems, Technology, Product, Digital, AI, Data, Business Transformation, or related experience; or
High School Diploma or GED and 10 years of Information Systems, Technology, Product, Digital, AI, Data, Business Transformation, or related experience.
Preferred Qualifications:
-
4+ years of product management, product strategy, innovation, consulting, digital transformation, or related experience.
-
2+ years of experience 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 data pipelines, data lakes, data warehouses, APIs, metadata, master data, data governance, and data quality.
-
Familiarity with enterprise AI platforms, MLOps, model lifecycle management, responsible AI practices, and AI governance.
-
Ability to partner with technical teams to assess solution architecture, integration complexity, platform fit, security implications, and operational 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 business workflows.
-
Strong presentation and storytelling skills, including experience 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.
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:
-
A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
-
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
-
Stock-based long-term incentives
-
Award-winning time-off plans
-
Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.
Sponsorship for this role is not guaranteed.
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
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, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
