Senior Digital Product Manager, Catalysts

Amgen

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Thousand Oaks, CA
Salary
$170,958–$231,297 / yr
Posted
16 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $201k
$157k most similar roles pay here $249k

This role pays less than 52% of similar roles. Most pay $177,900–$230,212 — the shaded band above. At the midpoint, this role pays about $201k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Amgen

Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals

Amgen currently has 46 open roles on FindRole.

Listed pay typically runs $136,906–$184,235 across 44 roles with salary data.

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At a glance

TL;DR · Senior Digital Product Manager, Catalysts

The Sr. Digital Product Manager, Catalysts serves as a hands-on player-coach within the product management team to accelerate the adoption of the Digital Product Operating Model. This individual contributor role involves embedding with specific product teams to strengthen product management capabilities and transition cross-functional teams from output-based delivery toward outcome-oriented mindsets. Key responsibilities include coaching digital product managers on discovery, strategy, roadmapping, OKRs, KPIs, and prioritization while directly managing product work when necessary. The candidate will collaborate with business, technology, design, data, and engineering partners to define user problems and measure value. Essential skills include product judgment, stakeholder management, and the ability to influence without formal authority. This role addresses the challenge of scaling consistent product management practices across complex enterprise environments while integrating technical feasibility and AI opportunities into the development lifecycle.

What you'll do

  • Coach Digital Product Managers on core skills like problem definition, discovery, strategy, and outcome measurement.
  • Embed with product teams to accelerate the adoption of the Digital Product Operating Model (DPOM).
  • Act as a player-coach by performing direct product management tasks when no dedicated manager is assigned.
  • Help cross-functional teams shift from feature-based delivery toward outcome-driven product management.
  • Define and improve product roadmaps, OKRs, KPIs, and value realization plans for various teams.
  • Identify capability gaps and recurring anti-patterns within teams to build durable product habits.
  • Translate insights from embedded engagements into improved playbooks, tools, and standards for the organization.
  • Build relationships with stakeholders to influence product direction and resolve blockers in complex environments.

What we're looking for

  • Must have one of: Doctorate plus 2 years experience; Master’s plus 6 years; Bachelor’s plus 8 years; Associate’s plus 10 years; or High school/GED plus 12 years in relevant fields.
  • Minimum of 2 years of experience directly managing people and/or leading teams, projects, programs, or directing resource allocation.
  • Experience must be in Digital Product, Product Management, Product Leadership, Digital Transformation, Technology Strategy, or related fields.
  • 5+ years of progressive experience in digital product management including strategy, discovery, roadmapping, prioritization, delivery, and outcome measurement (preferred).
  • Demonstrated ability to coach, mentor, or upskill product managers and cross-functional team members (preferred).
  • Strong product management craft including problem definition, roadmap development, OKRs, KPIs, and stakeholder alignment (preferred).
  • Experience in healthcare, biotechnology, or other regulated industries (preferred).
  • Familiarity with AI-native product development, generative AI workflows, and responsible AI principles (preferred).

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