Senior Digital Product Manager, Product Operations – Playbook & Training

🕒 August 26

🇺🇸 United States – Remote

💵 $171k - $231.3k / year

⏰ Full Time

🟠 Senior

⚡️ Product Operations

🦅 H1B Visa Sponsor

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Logo of Amgen

Amgen

10,000+ employees

Founded 1980

🏥 Healthcare

🧬 Biotechnology

💊 Pharmaceuticals

💰 $28.5G Post-IPO Debt on 2022-12

Healthcare • Biotechnology • Pharmaceuticals

Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.

📋 Description

• Scale Amgen’s Digital Product Operating Model by creating, maintaining, and facilitating practical adoption materials • Own DPOM playbook content, product management standards, templates, examples, self-serve guides, formal training, and accelerator workshops • Create guidance for product vision and strategy, user and business problem definition, product charters, roadmaps, OKRs, KPIs, discovery, prioritization, roles, decision rights, operating rhythms, and value measurement • Partner with the Director, Product Operations and Product Management Hub leadership to align playbook content with enterprise standards • Create and maintain reusable templates, examples, checklists, workshop materials, and accelerators • Own version control, content hygiene, distribution, and socialization of DPOM materials • Design and facilitate formal training sessions, accelerator workshops, and enablement experiences • Support business, digital product, technology, design, data, and engineering teams in applying DPOM • Improve training and accelerator content using feedback, adoption barriers, and maturity insights • Partner with Product Management Catalysts to turn field learnings into reusable assets and playbook updates • Collaborate with Product Operations and enterprise enabling teams to scale DPOM guidance and reflect AI-enabled product practices

🎯 Requirements

• Doctorate degree and 2 years of Digital Product, Product Management, Product Leadership, Digital Transformation, Technology Strategy, or related experience, or equivalent alternatives: Master’s degree and 6 years; Bachelor’s degree and 8 years; Associate’s degree and 10 years; or high school diploma/GED and 12 years • Minimum of 2 years of experience directly managing people and/or leadership experience leading teams, projects, programs, or directing resource allocation • Preferred: 5+ years of progressive experience in product operations, digital product management, product enablement, digital transformation, or related disciplines • Strong understanding of product management practices, including product vision, strategy, roadmaps, OKRs, discovery, prioritization, product charters, stakeholder alignment, and value measurement • Ability to translate complex concepts into clear, practical guidance, templates, training materials, and reusable tools • Experience creating playbooks, standards, frameworks, self-serve guides, examples, training content, or workshops • Strong facilitation skills for training sessions, workshops, and cross-functional working sessions • Excellent written and verbal communication skills • Experience partnering with product managers, business stakeholders, technology leaders, agile teams, and enablement partners • Attention to detail, content organization, version control, and knowledge management • Ability to incorporate feedback, field learnings, and measurement insights into improving materials • Comfort operating in ambiguity, building new standards, and helping teams adopt new ways of working • Experience in healthcare, biotechnology, regulated industries, high-tech, digital, consulting, or product-led organizations preferred • Familiarity with AI-native product development, generative AI workflows, responsible AI principles, and AI’s role in product management preferred

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