Product Owner - Digital Lab Platform

Amgen SA; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Amgen SA is seeking a Product Owner for digital lab and data platform capabilities, bridging science, technology, data and business process transformation. You will define, prioritize, and deliver capabilities to improve data quality, lab execution efficiency and scientific insight generation.

You will own the backlog, drive roadmap planning, and collaborate with stakeholders across Process Development, data and engineering teams to ensure value-driven outcomes for critical pipelines.

Qualifications

• Doctorate or equivalent with relevant R&D data capabilities.
• Advanced degree with multiple years of domain experience in pharma data.
• Experience translating scientific needs into scalable digital solutions.

Responsibilities

• Define and deliver capabilities that improve data quality and lab execution efficiency.
• Prioritize backlog and manage the product roadmap with stakeholders.
• Collaborate with engineering teams through Agile/Scrum delivery.
• Lead UAT, business validation, and release readiness.
• Drive adoption through training materials and stakeholder engagement.
• Monitor product performance and drive continuous improvement.

Skills

Product management

Agile delivery

Stakeholder collaboration

Data platform experience

Analytical thinking

Problem solving

Python

Generative AI knowledge

Digital twin knowledge

Analytics applications

Education

Doctorate

Master's degree + 3 years relevant experience

Bachelor's degree + 5 years relevant experience

Tools

Databricks

Redshift

ELN

LIMS

Job description

At Amgen, our shared mission to serve patients drives all that we do. In this vital role, you will join Amgen's Transformative Digital Capabilities (TDC) organization and help advance the next generation of digital capabilities supporting Process Development.

What will you do?

As a Product Owner supporting digital lab and data platform capabilities, you will work at the intersection of science, technology, data, and business process transformation. You will partner with stakeholders across Process Development, digital product teams, data and engineering teams, and end users to define, prioritize, and deliver capabilities that improve data quality, user experience, lab execution efficiency, and scientific insight generation.

This role requires an end-to-end product owner mindset, strong stakeholder engagement, and the ability to translate business and scientific needs into a well-managed roadmap and backlog.Thisrole independently manages multiple assignments, owns tactical segments of broader programs,anticipatesissues, and helps shape practical solutions aligned with teamobjectivesand business value.

Job Responsibilities

• Partner with business, scientific, and technology stakeholders to define and deliver an industry-leading digital thread spanning lab execution systems and data analytics platforms.

• Drive the digital platform strategy to improve data quality, enhance the efficiency and effectiveness of lab experimentation, and unlock novel insights through data science to accelerate pipeline advancement.

• Own and manage product backlog with clear prioritization aligned to business value and TDC strategy.

• Drive product roadmap planning and execution aligned with product vision.

• Leadrequirementsdefinition, user story development, and acceptance criteria.

• Partner with engineering teams through Agile/Scrum delivery.

• Collaborate with functional leads and users to refinebacklogand priorities.

• Drive user acceptance testing (UAT), business validation, and release readiness.

• Enable solution adoption through training materials and stakeholder engagement.

• Monitor product performance and user feedback for continuous improvement.

• Ensure alignment with data governance and enterprise architecture standards.

Basic Qualifications

• Doctorate OR

• Master's degree and 3 years of relevant experience OR

• Bachelor's degree and 5 years of relevant experience

Preferred Qualifications

• Strong understanding of structured/unstructured data (SQL/NoSQL).

• Experience with digital lab platforms such as ELN and LIMS in Pharma R&D.

• Knowledge of cloud data platforms like Databricks or Redshift.

• Familiarity with Generative AI, digital twins, and analytics applications.

• Strong product management and Agile delivery experience.

• Ability to translate scientific needs into scalable digital solutions.

• Proficiency in Python or similar tools.

• Strong analytical and problem-solving skills.

• Excellent stakeholder collaboration skills.