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Amgen

Makes biotech medicines for serious illnesses

Associate Director, Digital Product Operations - Measurement & Reporting

ProductConfirmed live in the last 24 hours
Full-timeRemote in USA$188.1k - $254.4kRemote

About the Job

Requirements

  • A doctorate degree and 3 years of experience in Digital Product, Product Management, Product Leadership, Digital Transformation, Technology Strategy, or related experience; or a master's degree and 7 years; or a bachelor's degree and 9 years; or an associate's degree and 12 years; or a high school diploma/GED and 14 years.
  • At least 3 years of experience directly managing people and/or leadership experience leading teams, projects, programs, or directing resource allocation; this experience may run concurrently with the required technical experience.
  • 7+ years of progressive experience in product operations, digital product management, product analytics, enterprise measurement, business reporting, digital transformation, technology strategy, or related disciplines.
  • Ownership of a complex, high-priority product, operating-model, measurement, or transformation problem space spanning multiple teams or organizational areas.
  • Experience shaping measurement strategy, maturity models, adoption frameworks, scorecards, executive dashboards, or reporting systems for product teams, operating models, or enterprise transformation efforts.
  • Expert understanding of product management practices, including roadmaps, OKRs, product charters, product strategy, discovery, prioritization, value measurement, lifecycle management, and product operating models.
  • Ability to integrate quantitative data, qualitative insights, artifact reviews, and stakeholder perspectives into clear findings, leadership-ready narratives, and actionable recommendations.
  • Analytical judgment to distinguish activity, compliance, and output measures from meaningful indicators of adoption, maturity, value realization, team health, and impact.
  • Experience guiding senior cross-functional partners across product, technology, business, analytics, reporting, finance, operations, compliance, and enablement teams in complex enterprise environments.
  • Experience building or guiding dashboards, reporting mechanisms, scorecards, maturity assessments, or executive readouts using tools such as Power BI, Tableau, Jira Align, Jira, Confluence, SharePoint, ChatGPT, or similar platforms.
  • Ability to influence without formal authority, constructively challenge senior partners, align teams through ambiguity, and guide consequential trade-offs involving data, adoption, product maturity, and operating-model improvement.
  • Experience coaching product managers or cross-functional partners, codifying reusable practices, and contributing to product management communities, standards, playbooks, or enablement programs.
  • Comfort operating in ambiguity, defining new measurement approaches, managing dependencies across teams, and improving reporting practices over time.

Responsibilities

  • Lead enterprise measurement strategy for Digital Product Operating Model adoption, product management maturity, team health, and product artifact quality across teams and organizational areas.
  • Translate Product Management Hub priorities into a measurement framework, maturity model, executive reporting approach, and continuous-improvement roadmap.
  • Define standards, dimensions, and indicators for assessing adoption, maturity, artifact quality, operating health, and realized value of product ways of working.
  • Ensure measurement distinguishes activity metrics from meaningful signals of adoption, maturity, decision quality, user value, and enterprise impact.
  • Frame ambiguous measurement problems, test assumptions, and determine which signals merit investment, instrumentation, leadership attention, and operating-model change.
  • Own the strategy and evolution of Digital Product Operating Model dashboards, scorecards, reporting mechanisms, and executive readouts for monthly business reviews, quarterly business reviews, and other enterprise operating cadences.
  • Guide analytics, technology, reporting, and product operations partners in building scalable, trusted reporting solutions.
  • Integrate quantitative data, qualitative field insights, artifact reviews, and leadership feedback into findings, trends, risks, and recommendations.
  • Create leadership-ready narratives to help Product Management Hub leadership, the Vice President of Product Management, the Chief Technology Officer, technology leaders, and business leaders understand progress, barriers, and trade-offs.
  • Use reporting to surface cross-product dependencies, adoption barriers, maturity gaps, and opportunities to improve Digital Product Operating Model effectiveness across the enterprise.
  • Lead assessment of product management maturity across teams, including outcome orientation, roadmap quality, objectives and key results quality, decision-making, discovery, prioritization, value measurement, and lifecycle management.
  • Identify recurring maturity gaps, anti-patterns, adoption friction, and capability needs across product teams, product groups, and business functions.
  • Partner with Digital Product Management Catalysts to incorporate field-based insights from embedded engagements and turn them into enterprise-level learning.
  • Translate maturity and artifact-quality findings into improved standards, playbooks, templates, training, accelerator workshops, coaching approaches, and enablement materials.
  • Embed measurement and reporting into enterprise operating rhythms so adoption progress, maturity trends, risks, and learning inform decisions at the appropriate cadence.
  • Guide senior partners across Product Operations, Product Management Catalysts, digital product leadership, technology, business, analytics, and reporting teams to align on measures, interpretation, and actions.
  • Recommend annual and quarterly focus areas for measurement, reporting, enablement, and operating-model improvement based on enterprise needs and evidence.
  • Use measurement insights to guide trade-offs about where to focus support, coaching, capability-building, product community investment, and leadership attention.
  • Build repeatable mechanisms that make measurement sustainable, scalable, and useful across multiple teams and organizational areas.
  • Ensure measurement decisions are grounded in fit-for-purpose data, sound instrumentation, defensible metrics, and clear interpretation of limitations.
  • Partner with technology, data, analytics, reporting, and platform teams to address data quality, access, privacy, security, regulatory, responsible artificial intelligence, and governance considerations.
  • Identify appropriate opportunities to use artificial intelligence-native workflows, generative artificial intelligence, and automation to improve measurement, analysis, reporting, artifact review, and leadership-readout preparation.
  • Lead complex cross-functional work through clear communication, credible product judgment, and constructive challenge without relying on direct authority.
  • Influence senior partners across product, technology, business, analytics, reporting, and enablement functions to align on measurement strategy, adoption signals, and improvement actions.
  • Coach product managers and product operations partners on measurement, maturity assessment, artifact quality, dashboard interpretation, and leadership storytelling.
  • Codify effective practices, reusable examples, and standards that strengthen product management capability and the Digital Product Operating Model community.
  • Contribute to product management norms and operating-model practices that reinforce outcome-centered, user-centered, data-informed product leadership.

Desired Qualifications

  • Experience in healthcare, biotechnology, or another regulated industry; candidates from high-tech, digital, consulting, or product-led organizations are also encouraged to apply.
  • Familiarity with artificial intelligence-native product development, generative artificial intelligence workflows, responsible artificial intelligence principles, and the evolving role of artificial intelligence in product management and product operations.

About the Company

Amgen

Makes biotech medicines for serious illnesses

Amgen develops and makes biologic medicines, which are drugs built from proteins and antibodies grown in living cells, for serious conditions such as heart disease, cancer, and bone loss. Its anemia drug Epogen, approved in 1989, became one of the biotechnology industry's first blockbuster medicines. Amgen grows these drugs in large tanks called bioreactors, and its products include the cholesterol drug Repatha, the bone-building drug Evenity, and the severe asthma drug Tezspire. It earns money by selling these medicines, mostly through large drug wholesalers that supply hospitals and pharmacies. Amgen was founded in 1980 and is based in Thousand Oaks, California.

Company size
10,001+
Company stage
IPO
Headquarters
Thousand Oaks, CA
Founded
1980

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