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
Employment
Full-time
Posted
62 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $201k
$146k $244k
below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $177,250–$226,800 — the blue band above. At the midpoint, this role pays about $201k versus about $202k 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 76 open roles on FindRole.

Listed pay typically runs $136,906–$185,227 across 45 roles with salary data.

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At a glance

TL;DR · Senior Digital Product Manager, Catalysts

JOB TITLE: Sr. Digital Product Manager, Catalysts The Sr. Digital Product Manager, Catalysts serves as a hands-on player-coach within the Product Management Catalysts 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 teams from output-based to outcome-driven mindsets. Key responsibilities include coaching digital product managers on problem definition, discovery, product strategy, and roadmap development while directly performing product management tasks when necessary. The role requires defining measurable outcomes, establishing OKRs and KPIs, and managing stakeholder alignment. Success involves utilizing product judgment to navigate technical feasibility, data requirements, and AI opportunities. The position focuses on improving product maturity and establishing durable habits within complex, cross-functional environments to ensure products deliver measurable business value.

What you'll do

  • Embed with product teams to accelerate the adoption of the Digital Product Operating Model.
  • Coach Digital Product Managers on skills like problem definition, discovery, strategy, and value measurement.
  • Perform product management responsibilities directly when no dedicated manager is assigned to a team.
  • Help teams shift from output-based delivery to outcome-driven product management using OKRs and KPIs.
  • Shape and strengthen product visions, roadmaps, and prioritization based on user needs and business value.
  • Identify capability gaps and recurring anti-patterns within cross-functional teams to build durable product habits.
  • Capture learnings from embedded engagements to improve enterprise playbooks, tools, and standards.
  • Build trusted relationships with stakeholders to influence product direction and resolve blockers without formal authority.

What we're looking for

  • Must have a Doctorate with 2 years, Master’s with 6 years, Bachelor’s with 8 years, or Associate’s with 10 years of relevant experience.
  • Must have a High school diploma/GED and 12 years of relevant experience.
  • Relevant experience must be in Digital Product, Product Management, Product Leadership, Digital Transformation, or Technology Strategy.
  • Must have a minimum of 2 years of experience directly managing people or leading teams, projects, programs, or resource allocation.
  • 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, product owners, business partners, or cross-functional team members (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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