Sr. Digital Product Manager, Product Operations - Tech Enablers & PDLC

Amgen•Thousand Oaks, CA

13d

About The Position

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. The Senior Product Manager, Product Operations - Tech Enablers & PDLC will help define, evaluate, and scale the tools, platforms, AI agents, workflows, and broader Product Development Lifecycle (PDLC) infrastructure that enable Amgen teams to practice modern product management. Reporting to the Director, Product Operations, this individual contributor role will serve as a hands-on product operations owner for the technology and workflow enablers that help product management and cross-functional teams define product vision and strategy, understand user needs, prioritize opportunities and outcomes, translate strategy into roadmaps, define requirements, align stakeholders, lead delivery, make trade-offs, measure performance, manage the product lifecycle, ensure usability, quality and trust, and communicate product progress and impact. This role will be responsible for tool evaluation and adoption, product requirements, and enablement for the systems and workflows that support Amgen rolling out the Digital Product Operating Model (DPOM). The short-term focus will be enabling an AI-assisted PDLC, while the longer-term vision is to help Amgen move toward an AI-led PDLC where product teams can use AI and integrated tooling to improve speed, quality, learning, and decision-making across the product lifecycle. The Senior Product Manager, Product Operations - Tech Enablers & PDLC should be a product-minded technologist and operator who is comfortable experimenting, prototyping, testing tools, shaping requirements, and translating technology possibilities into practical product team workflows.

Requirements

Doctorate degree and 2 years of Digital Product, Product Management, Product Leadership, Digital Transformation, Technology Strategy, or related experience or Master’s degree and 6 years of Digital Product, Product Management, Product Leadership, Digital Transformation, Technology Strategy, or related experience or Bachelor’s degree and 8 years of Digital Product, Product Management, Product Leadership, Digital Transformation, Technology Strategy, or related experience
Associates degree and 10 years of Digital Product, Product Management, Product Leadership, Digital Transformation, Technology Strategy, or related experience or High school diploma/GED and 12 years of Digital Product, Product Management, Product Leadership, Digital Transformation, Technology Strategy, or related experience
In addition to meeting at least one of the above requirements, you must have a minimum of 2 year experience directly managing people and/or leadership experience leading teams projects, programs or directing the allocation of resources.
Your managerial experience may run concurrently with the required technical experience referenced above.

Nice To Haves

5+ years of progressive experience in product operations, digital product management, product tooling, digital transformation, technology enablement, AI-enabled workflows, or related disciplines.
Strong understanding of product management practices across the Product Development Lifecycle, including discovery, strategy, roadmapping, OKRs, prioritization, requirements, delivery, measurement, lifecycle management, and stakeholder communication.
Experience evaluating, implementing, or driving adoption of tools that support product management, portfolio planning, intake, roadmapping, analytics, documentation, collaboration, or AI-enabled workflows.
Comfort experimenting with new tools, AI agents, prototypes, automations, and workflow improvements.
Ability to translate product team needs into requirements, pilots, recommendations, enablement plans, and scalable workflows.
Strong technical curiosity and ability to partner effectively with technology, architecture, AI, data, security, privacy, quality, procurement, and governance teams.
Experience supporting tool adoption, change enablement, training, documentation, or workflow redesign in complex enterprise environments.
Strong communication and stakeholder management skills, including the ability to explain technical concepts to non-technical audiences.
Ability to balance innovation, usability, governance, quality, trust, and responsible AI considerations.
Comfort operating in ambiguity and building new capabilities where tools, workflows, and operating models are still being defined.
Experience in healthcare, biotechnology, or other regulated industries preferred; candidates from high-tech, digital, consulting, or product-led organizations are also encouraged to apply.
Familiarity with AI-native product development, generative AI workflows, responsible AI principles, and the evolving role of AI in product management strongly preferred.

Responsibilities

Own product requirements, evaluation, and adoption support for tools and platforms that enable DPOM and modern product management practices.
Evaluate tools, platforms, AI agents, and workflows that support product strategy, discovery, roadmapping, OKRs, prioritization, intake, requirements, stakeholder alignment, delivery, measurement, documentation, and lifecycle management.
Partner with product teams and cross-functional stakeholders to understand workflow needs, pain points, adoption barriers, and opportunities for technology enablement.
Translate product team needs into clear requirements, recommendations, pilots, and adoption plans.
Help define and enable Amgen’s short-term AI-assisted PDLC and longer-term AI-led PDLC vision.
Identify opportunities to use AI, automation, integrated tooling, and reusable workflows to improve product management quality, speed, consistency, and decision-making.
Experiment with and evaluate AI-enabled tools, agents, and workflows that support product discovery, strategy, roadmap development, requirements definition, stakeholder communication, performance measurement, and lifecycle management.
Partner with AI, technology, architecture, data, security, privacy, quality, and governance stakeholders to ensure AI-enabled product workflows are practical, responsible, trusted, and scalable.
Define and improve the tools, workflows, and practices that support product teams across the Product Development Lifecycle.
Help teams connect product strategy, user needs, outcomes, roadmaps, requirements, delivery, measurement, lifecycle management, and communication into a more integrated operating flow.
Partner with Product Operations teammates to ensure PDLC workflows align with DPOM standards, playbooks, measurement approaches, and enterprise operating rhythms.
Identify friction points in the product lifecycle and recommend practical improvements through tooling, workflow design, automation, or enablement.
Lead adoption support for selected tools, platforms, AI agents, and PDLC workflows, including pilots, onboarding, training, stakeholder alignment, and feedback loops.
Partner with Product Operations teammates to ensure tool guidance, workflow instructions, and AI-enabled practices are reflected in DPOM materials and training and to define and track adoption and effectiveness of product tools, AI-enabled workflows, and PDLC improvements.
Partner with Product Management Hub, Product Management Catalysts, Agile Enablement, Enterprise Architecture, Digital Technology, AI teams, data and analytics teams, procurement/vendor teams, governance, security, privacy, quality, business functions, and technology leaders.
Embed with individual product teams to help improve product management practices and accelerate DPOM adoption.
Serve as a hands-on player-coach to Digital Product Managers and cross-functional team members.
Coach assigned DPMs on core product management skills, including problem definition, discovery, product strategy, outcome-based roadmaps, OKRs, KPIs, prioritization, stakeholder alignment, and value measurement.
When no DPM is assigned, temporarily perform product management responsibilities directly, including shaping product direction, aligning stakeholders, defining outcomes, and supporting roadmap and prioritization decisions.
Help teams move from stakeholder-request and feature-based delivery toward empowered, outcome-driven product management.
Help cross-functional teams understand and apply DPOM practices in the flow of real product work.
Partner with business leads, technology leads, product owners, business analysts, design, data and engineering team members, and other stakeholders to strengthen product ways of working.
Help teams clarify roles, decision rights, operating rhythms, success measures, and expectations within the Digital Product Operating Model.
Identify product management capability gaps, adoption barriers, and recurring anti-patterns within embedded teams.
Support teams in building durable product habits that continue after the Catalyst engagement ends.
Help teams understand business context, constraints and material risks while defining the business and user problems they are solving and connecting product work to measurable outcomes.
Shape and strengthen development of product vision, strategy, roadmaps, OKRs, KPIs, and value realization plans.
Apply independent product judgment to help teams evaluate and make trade-off recommendations based on user needs, business value, feasibility, risk, and enterprise priorities.
Support discovery, validation, experience evaluation, and learning practices that help teams make better product decisions.
Help DPMs integrate technical feasibility, data and measurement requirements, dependencies, and appropriate AI opportunities and risks into product decisions.
Help teams evaluate investment, capacity and prioritization trade-offs based on user needs, expected business value, evidence, feasibility, risk and enterprise priorities.
Help teams improve roadmap quality by shifting from output lists to outcome-oriented plans.
Execute the Catalyst engagement model, including product/team assessment, engagement planning, embedded coaching, adoption measurement, transition planning, and learning capture.
Contribute to refinement of the Catalyst model based on practical learnings from embedded engagements.
Define and track success measures for each engagement, including DPM capability growth, cross-functional team adoption, product maturity, and DPOM adoption outcomes.
Surface insights, risks, and recommendations to the Director, Product Management Catalysts and Product Management Hub leadership.
Translate lessons from embedded work into reusable examples, practices, templates, and playbook improvements.
Build trusted relationships with DPMs, business stakeholders, technology leaders, and cross-functional team members.
Influence without formal authority in complex product and enterprise environments.
Communicate clearly with team-level and senior stakeholders on product direction, adoption progress, risks, and decisions needed.
Operate with high autonomy, strong judgment, and a bias toward practical progress.
Escalate major blockers, trade-offs, or alignment issues to the Director, Product Management Catalysts when needed.