Senior Digital Product Manager, Product Operations - Tech Enablers & PDLC

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 $198k
This role $201k
$140k $245k
below market most similar roles pay here above market

This role pays more than 57% of similar roles. Most pay $172,450–$223,462 — the blue band above. At the midpoint, this role pays about $201k versus about $198k 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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View all roles at Amgen

At a glance

TL;DR · Senior Digital Product Manager, Product Operations - Tech Enablers & PDLC

The Sr. Digital Product Manager, Product Operations - Tech Enablers & PDLC joins the Product Operations team to define, evaluate, and scale tools, platforms, AI agents, and workflows that support the Product Development Lifecycle. This individual contributor role involves owning product requirements for systems that enable modern product management practices, specifically focusing on the transition toward an AI-assisted and eventually AI-led lifecycle. You will build and improve infrastructure for strategy, discovery, roadmapping, OKRs, and prioritization while partnering with architecture, data, and security teams. Key responsibilities include experimenting with prototypes, leading tool adoption, and coaching digital product managers on outcome-driven delivery. The role solves the business problem of improving speed, quality, and decision-making by integrating technical feasibility and automated workflows into a unified Digital Product Operating Model.

What you'll do

  • Own product requirements, evaluation, and adoption support for tools and platforms that enable modern product management practices.
  • Evaluate AI agents, platforms, and workflows to support product strategy, discovery, roadmapping, and lifecycle management.
  • Translate product team needs into clear requirements, pilots, and adoption plans for technology enablement.
  • Define and improve tools and workflows that support the Product Development Lifecycle (PDLC) and Digital Product Operating Model.
  • Lead adoption support for selected tools and workflows through pilots, onboarding, training, and feedback loops.
  • Coach Digital Product Managers on core skills like problem definition, discovery, strategy, and outcome-based roadmaps.
  • Perform product management responsibilities directly when needed, including shaping direction and aligning stakeholders.
  • Identify product management capability gaps and recurring anti-patterns within embedded teams to build durable product habits.

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, Technology Strategy, or related fields.
  • Must have a minimum of 2 years of experience directly managing people or leading teams, projects, programs, or directing resource allocation.
  • 5+ years of progressive experience in product operations, digital product management, product tooling, digital transformation, or technology enablement (preferred).
  • Experience evaluating, implementing, or driving adoption of tools for product management, portfolio planning, intake, roadmapping, analytics, or AI-enabled workflows (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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