Product Owner - Digital Lab Platform
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Career Category
Information Systems
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. This role independently manages multiple assignments, owns tactical segments of broader programs, anticipates issues, and helps shape practical solutions aligned with team objectives and 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.
Lead requirements definition, user story development, and acceptance criteria.
Partner with engineering teams through Agile/Scrum delivery.
Collaborate with functional leads and users to refine backlog and 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.
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Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 1167 comparable Information Technology roles across 74 biopharma companies.
Salary context
162 of 1167 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 1167 comparable roles
+ 29 more countries
Seniority mix
667 of 1167 peers have a known seniority level
Therapeutic area mix
2 of 1167 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.