Director, AI Digital Product Management, Commercial Value & Access

Amgen

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Thousand Oaks, CA
Salary
$199,326–$269,677 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $244k
This role $235k
$189k $298k
below market most similar roles pay here above market

This role pays less than 61% of similar roles. Most pay $210,825–$277,789 — the blue band above. At the midpoint, this role pays about $235k versus about $244k 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 66 open roles on FindRole.

Listed pay typically runs $156,190–$211,315 across 45 roles with salary data.

Most-posted roles

View all roles at Amgen

At a glance

TL;DR · Director, AI Digital Product Management, Commercial Value & Access

Director - AI Digital Product Management - Commercial Value & Access joins the Enterprise AI & Data Science team to lead product strategy, portfolio, and team management for AI products supporting Commercial Value & Access. As a Group Product Manager, the individual will operate as a player-coach, defining visions, roadmaps, and priorities while directly owning one product and coaching others. Key responsibilities include identifying business value, managing cross-product prioritization, and guiding products from discovery through scaling. The role requires expertise in AI/ML technologies, including generative AI, agents, AI platforms, and production AI systems. The position focuses on translating customer needs into scalable solutions within the biotechnology and healthcare sectors, ensuring all products meet Responsible AI, privacy, security, and technology standards while measuring model performance and business outcomes.

What you'll do

  • Define the vision, strategy, roadmaps, and priorities for a portfolio of AI products.
  • Act as a player-coach by owning one specific product while providing strategic direction for the broader group.
  • Lead, coach, and develop Product Managers to establish strong product practices and a culture of accountability.
  • Make cross-product prioritization decisions and manage investment trade-offs to focus on high-value opportunities.
  • Translate customer needs and business opportunities into scalable AI product capabilities with engineering and data science teams.
  • Guide AI and machine learning products through the full lifecycle from discovery and experimentation to launch and scaling.
  • Monitor and own product-group outcomes, including KPIs, adoption rates, and AI model performance measures.
  • Ensure all AI products are scalable and compliant with Responsible AI, privacy, security, and technology standards.

What we're looking for

  • Must have a Doctorate with 4 years of IT/Digital Product Management experience, a Master’s with 8 years, or a Bachelor’s with 10 years.
  • Must have at least 4 years of experience directly managing people or leading teams, projects, programs, or resource allocation.
  • 10+ years of product management experience, including 5+ years with AI/ML or data-driven enterprise products (preferred).
  • Experience leading a portfolio or group of related products as a product suite (preferred).
  • Experience building products supporting Commercial Value & Access within biotechnology, pharmaceuticals, or healthcare (preferred).
  • Strong understanding of AI/ML technologies, including generative AI, agents, AI platforms, and production AI systems (preferred).
  • Demonstrated ability to influence senior executives and communicate complex product and technology strategies clearly (preferred).
  • Strong technical fluency to partner effectively with engineering, data science, and architecture teams (preferred).

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