Digital Product Manager, Product Operations – Measurement & Reporting

Role Overview

The Digital Product Manager will help Amgen measure, understand, and improve adoption of the Digital Product Operating Model (DPOM) by supporting the measurement, analysis, and reporting capabilities used to assess product management maturity, team health, and quality of core product practices and artifacts.

What You Will Do

The Digital Product Manager will work with Product Operations, Product Management Catalysts, digital product teams, analytics and technology partners to maintain meaningful measures, improve dashboards and reporting, conduct product maturity assessments, and translate quantitative and qualitative data into actionable insights.

Why It Might Be a Fit

The Digital Product Manager will use data, stakeholder feedback, and learning from product teams to improve measurement approaches over time and help the Product Management Hub identify where teams are progressing, where barriers remain, and where additional support or enablement may be needed.

Requirements

• 3+ years of experience in Digital Product, Product Management, Product Ownership, Product Operations, Product Analytics, Business Reporting, Digital Transformation, Technology Strategy, or comparable customer- and outcome-focused work.
• Demonstrated ownership of a defined product area, capability, or comparable problem space, including the ability to make independent decisions within an established strategy and lead cross-functional delivery and iteration.
• Experience in product operations, digital product management, product analytics, business reporting, measurement, digital transformation, or related disciplines.
• Understanding of product management practices including product strategy, roadmaps, OKRs, product charters, discovery, prioritization, user and business problem definition, and value measurement.
• Ability to combine quantitative data, qualitative feedback, and stakeholder perspectives into clear findings and actionable recommendations.
• Strong analytical judgment, including the ability to distinguish activity or compliance metrics from meaningful indicators of adoption, maturity, quality, and impact.
• Experience defining data, instrumentation, and KPI needs and partnering with analytics or technology specialists to improve measurement capabilities.
• Strong written and verbal communication skills, with the ability to explain data, findings, limitations, and recommendations clearly to cross-functional audiences.
• Ability to work independently within an established strategy, manage assigned priorities, navigate ambiguity, and adapt approaches based on evidence and outcomes.
• Experience partnering across product, technology, business, analytics, reporting, or enablement teams in a complex enterprise environment.
• Experience in healthcare, biotechnology, or other regulated industries preferred; candidates from high-tech, digital, consulting, or product-led organizations are also encouraged to apply.
• Familiarity with AI-native workflows, generative AI, responsible AI principles, and opportunities to use AI and automation to improve product measurement, analysis, and reporting preferred.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Life insurance
• Disability insurance
• Retirement plan
• Paid time off
• Vacation days
• Sick leave
• Flexible work arrangements
• Professional development opportunities
• Employee discounts
• Free parking
• On-site fitness center
• Wellness programs
• Employee recognition and reward programs
• Diversity and inclusion initiatives
• Employee assistance programs
• Mental health support
• Financial planning and budgeting tools
• 401(k) matching
• Stock options
• Equity participation
• Bonus and commission plans
• Profit-sharing plans
• Employee stock purchase plans
• Retirement savings matching
• Health savings account (HSA) contributions
• Flexible spending account (FSA) contributions
• Dependent care assistance
• Adoption assistance
• Parental leave
• Maternity leave
• Paternity leave
• Family leave
• Sabbatical leave
• Career development programs
• Mentorship programs
• Networking opportunities
• Professional certification support
• Education assistance
• Training and development programs
• Leadership development programs
• Coaching and mentoring
• Performance-based bonuses
• Stock awards
• Stock options
• RSUs (Restricted Stock Units)
• ESOP (Employee Stock Ownership Plan)
• Partnership/shareholder track
• Equity participation
• Bonus and commission plans
• Profit-sharing plans
• Employee stock purchase plans
• Retirement savings matching
• Health savings account (HSA) contributions
• Flexible spending account (FSA) contributions
• Dependent care assistance
• Adoption assistance
• Parental leave
• Maternity leave
• Paternity leave
• Family leave
• Sabbatical leave
• Career development programs
• Mentorship programs
• Networking opportunities
• Professional certification support
• Education assistance
• Training and development programs
• Leadership development programs
• Coaching and mentoring
• Performance-based bonuses
• Stock awards
• Stock options
• RSUs (Restricted Stock Units)
• ESOP (Employee Stock Ownership Plan)
• Partnership/shareholder track

Tagged as: Compensation Design, Financial Modeling