Senior Digital Product Manager, Forecasting

Amgen

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Thousand Oaks, CA
Salary
$170,958–$231,297 / yr
Employment
Full-time
Posted
53 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $201k
$157k $241k
below market most similar roles pay here above market

This role pays more than 57% of similar roles. Most pay $176,712–$227,000 — 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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View all roles at Amgen

At a glance

TL;DR · Senior Digital Product Manager, Forecasting

The Sr. Digital Product Manager, Forecasting leads the strategy, discovery, development, and adoption of high-impact digital products designed to improve how the company forecasts, plans, evaluates scenarios, and makes complex business decisions. Working at the intersection of business strategy, customer needs, data science, and technology, the role involves translating sophisticated analytical capabilities into scalable products. Key responsibilities include developing product visions, roadmaps, and prioritized backlogs while framing ambiguous business problems as opportunities for optimization, simulation, and automation. The position requires expertise in predictive analytics, machine learning, and generative AI to support responsible AI and transparency. The successful candidate will partner with engineers and data scientists to deliver decision-support tools across Commercial, Supply Chain, Manufacturing, Finance, and R&D departments, ensuring model outputs are understandable and actionable for global stakeholders.

What you'll do

  • Translate digital strategy into product visions, roadmaps, prioritized backlogs, and measurable outcomes.
  • Frame complex business problems as product opportunities for forecasting, optimization, and AI-enabled decision support.
  • Partner with data scientists and engineers to translate analytical models into scalable, usable digital products.
  • Ensure forecasting products clearly communicate assumptions, uncertainty, and model outputs to non-technical stakeholders.
  • Influence senior stakeholders to align cross-functional teams around a shared product vision and roadmap.
  • Identify opportunities to incorporate generative AI, predictive analytics, and intelligent automation with human oversight.
  • Establish operating rhythms, decision rights, and communication practices for globally distributed teams.
  • Measure and drive product adoption by tracking impact on business performance and user experience.

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 Digital Product Management experience.
  • Must have a High school diploma/GED and 12 years of Digital Product Management experience.
  • Must have a minimum of 2 years of experience directly managing people or leading teams, projects, programs, or directing resources.
  • Proven experience connecting business strategy, customer needs, data analytics, and technology to lead data-intensive products (preferred).
  • Experience leading products from discovery through launch, adoption, and scaling in a complex planning environment (preferred).
  • Experience applying Agile methods to multidisciplinary product, data science, and engineering teams (preferred).
  • Experience developing products incorporating forecasting, predictive analytics, optimization, simulation, or machine learning (preferred).
  • Experience in pharmaceutical, biotechnology, life sciences, healthcare, or manufacturing industries (preferred).

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