Digital Product Mgr-AI&D

MedDeviceJobs; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Amgen is seeking a Digital Product Manager to guide the lifecycle of AI-driven products within the AI & Data Innovation Lab. You will shape vision, roadmaps, and growth opportunities, collaborating with engineering, data science, and business units to scale high-potential AI initiatives responsibly.

The role emphasizes rapid validation, stakeholder alignment, and enterprise-wide impact across biotech workflows, with a strong product mindset and deep understanding of AI deployment in complex

Qualifications

• 8-13 years of work experience in the related field.
• 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.

Responsibilities

• Design and run rapid discovery sprints, prototypes, pilots, and user research to assess desirability and viability.
• Identify AI-enabled opportunities and translate them into testable hypotheses with success metrics.
• Assess how LLMs, AI agents, ML models, NLP, automation, and analytics can improve productivity and efficiency.
• Evaluate data foundations, system integrations, architecture patterns, security, and operational readiness.
• Partner with engineering, data science, and tech teams to align scope and execution.
• Conduct landscape assessments across industries to learn AI applications and macro trends.
• Develop product requirements considering UX, data availability, model performance, and governance.
• Synthesize validation findings into briefs and executive-ready narratives for decisions.
• Ensure validation considers responsible AI, privacy, model risk, cybersecurity, and compliance.
• Lead workshops and discovery sessions, communicating AI concepts to senior leaders.

Skills

LLMs

AI agents

ML models

NLP

Automation

Knowledge retrieval

Analytics

AI product development

Presentation

Education

Doctorate

Master's degree + 2 years in related fields

Bachelor’s degree + 4 years in related fields

Associate’s degree + 8 years in related fields

High School Diploma + 10 years in related fields

Job description

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.

Digital Product Manager (AI)

The Digital Product Manager at Amgen oversees the lifecycle of digital products, working closely with various teams to define the product vision, roadmap, and growth opportunities.

Role Overview

We are seeking a Digital Product Manager, to join the AI & Data Innovation 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.

Operating at the intersection of business strategy, AI product innovation, data, technology, and enterprise transformation, this role will provide strategic product leadership across ambiguous, cross-functional opportunities and influence senior business and technology stakeholders on product direction, prioritization, investment, and scale.

This role requires a strong product mindset, 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.

What You’ll Do

• **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.
• 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.
• 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.
• 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.
• Partner with engineering, data science, and technical teams to align on scope, tradeoffs, and execution path.
• Conduct landscape assessments across different industries to learn how AI is leveraged to solve shared problem spaces at the macro level.
• 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.
• **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.**

Basic Qualifications:

• 8-13 years of work experience in the related field
• 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.
• Design thinking experience
• Ability to evaluate AI opportunities across desirability, feasibility, viability, value, risk, scalability, and data readiness.
• Experience with AI platforms, MLOps, or enterprise AI architecture.
• Familiarity with AI (e.g., LLMs, agents, NLP) and ML productization at scale.
• Strong presentation and public speaking skills with experience communicating to executives
• Familiarity with biotech workflows (e.g., lab automation, computational biology, clinical data, etc).
• Hands-on ability to analyze product usage, model output quality, or design A/B experiments.
• Comfort working in fast-paced, cross-functional environments where priorities evolve quickly.
• Strong stakeholder management skills, including the ability to build relationships and collaborate effectively across functions and levels.
• Consulting experience, with demonstrated ability to structure and solve complex business problems.
• Experience conducting cross-industry landscape assessments to identify how AI is being leveraged to address shared problem spaces and uncover macro-level trends and opportunities