Digital AI Product Analyst

Job description

Career CategoryInformation SystemsJob DescriptionJoin 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. 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. Digital AI Product Analyst What you will do Let’s do this. Let’s change the world. The Digital AI Product Analyst, AI Studio position offers a unique opportunity to join a fun, innovative team within the AI & Data Science organization. This role will support next-generation AI, automation, process intelligence, digital workflow, and productivity capabilities across Amgen’s AI Studio portfolio. The job offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. We are the Applied AI team (AI Studio). AI Studio is Amgen’s enterprise engine for turning high-value business challenges into scalable AI products. We partner with key business partners across the company to identify the right opportunities, shape them into actionable use cases, and design, build, and launch AI products responsibly. Our work spans the full lifecycle—from early discovery and rapid prototyping to production deployment, reuse across the enterprise, and measurable business impact. AI Studio is responsible for the end-to-end lifecycle of enterprise AI products and solutions, including discovery, experience and solution design, development, DevOps, deployment, adoption, and value realization. The portfolio includes full-stack digital solutions and agentic AI solutions leveraging technologies such as UiPath, large language models, machine learning, Databricks, AWS services, GitLab, Custom GPTs, Claude, and other emerging AI and automation technologies. The Digital AI Product Analyst will support the analysis, design, development, delivery, and ongoing improvement of AI Studio products and solutions. This role will help connect business needs, user experience, product strategy, and technical delivery by partnering with business stakeholders, Product Managers, designers, architects, engineers, data scientists, platform owners, and external vendors. The role will translate business needs and user challenges into clearly defined product requirements, user stories, process documentation, data requirements, acceptance criteria, implementation plans, and measurable success outcomes. The Specialist will contribute across the product lifecycle—from initial discovery and solution definition through development, testing, deployment, adoption, operational support, and value realization. The Digital AI Product Analyst will lead requirements-gathering and user-story development sessions, support product backlog management, analyze data and business processes, coordinate user acceptance testing, and assist with product releases and production deployment. The role will help ensure product decisions are aligned with business priorities, user needs, technical feasibility, scalable architecture, measurable value, and applicable quality, security, privacy, and compliance requirements. The successful candidate will apply strong business analysis, product analysis, data analysis, and stakeholder-management capabilities to help deliver scalable digital and AI-enabled solutions. The role will support the development of full-stack applications, agentic AI solutions, GenAI applications, machine-learning capabilities, data integrations, enterprise data products, intelligent automation, and digital workflows that improve business processes and user experiences. Roles & Responsibilities: Lead product discovery, requirements-elicitation, process-analysis, and user-story development sessions with business stakeholders, Product Managers, subject matter experts, designers, architects, engineers, data teams, platform owners, and delivery partners. Translate business needs and user challenges into clear, development-ready artifacts, including opportunity statements, product requirements, epics, features, user stories, acceptance criteria, process flows, functional requirements, and data requirements. Facilitate backlog-refinement and requirements-review sessions to ensure work is clear, complete, testable, technically feasible, and aligned with product strategy and business priorities. Maintain and support prioritization of the product backlog based on business value, strategic alignment, user impact, risk, dependencies, delivery readiness, and technical considerations. Partner with Product Managers, Delivery Leads, and technical teams to support roadmap planning, sprint planning, release planning, dependency management, and delivery execution. Analyze current-state and future-state processes to identify inefficiencies, manual activities, process and data gaps, business rules, risks, and opportunities for AI, automation, digital workflow, or process improvement. Support product and solution discovery by documenting business problems, stakeholder needs, user personas, pain points, desired future states, assumptions, risks, dependencies, success measures, and value drivers. Support experience and solution design by translating user and business needs into functional workflows, product capabilities, process designs, data interactions, and solution requirements. Perform data analysis and execute SQL queries across large datasets to validate requirements, define business logic and metrics, assess data quality, investigate issues, support testing, and inform product decisions. Partner with subject matter experts and data owners to define and align metric definitions, data sources, calculations, data usage, and data-quality expectations. Collaborate with architects, developers, AI and machine-learning engineers, data scientists, data engineers, automation developers, UX designers, and platform teams throughout the development lifecycle. Support the development and delivery of full-stack applications, GenAI applications, agentic AI solutions, machine-learning capabilities, intelligent automation, digital workflows, data integrations, and enterprise data products. Support solutions leveraging technologies such as UiPath, large language models, Databricks, AWS services, GitLab, Custom GPTs, Claude, APIs, web-development frameworks, and related AI, automation, cloud, and data platforms. Engage with vendors and platform owners to evaluate functionality, technical constraints, integration options, licensing considerations, and opportunities to leverage existing enterprise technologies. Coordinate user acceptance testing, including test scenarios, test cases, expected results, test data, requirements traceability, defect documentation, retesting, and business approval. Support defect management, production deployment, and DevOps activities, including triage, tracking, business and environment readiness, release coordination, implementation planning, validation, and stakeholder communications. Support product operations by monitoring product usage, system performance, incidents, enhancement requests, user feedback, data-q