Digital Product Strategy and Innovation Lead

Career Category

Information Systems

Job Description

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. 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.  

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. 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.

Role Overview
 

In this critical leadership role, you will establish and lead Amgen’s Portugal-based AI Digital Product Enablement team as part of the AI&D Lab Product Management organization. Reporting to the Executive Director, AI&D Lab Product Management, you will build a high-performing team that serves as the operational and product bridge between US-based business stakeholders and global development teams, including India.
 

This role is designed to enable a follow-the-sun operating model. You and your team will translate business priorities into execution-ready product work, reduce ambiguity across regions, accelerate decision-making, and improve the quality and consistency of handoffs so product delivery can progress continuously across time zones.
 

The ideal candidate combines strong product leadership, technical fluency, operational rigor, and team-building experience. This leader must be equally effective with senior business stakeholders, product and engineering teams, and cross-functional partners for AI delivery excellence.

What you will do

Establish and lead the Portugal-based enablement team

• Build, lead, and develop a Portugal-based team responsible for digital product ownership and cross-regional delivery enablement for AI initiatives.
• Define the team’s operating model, scope, processes, ways of working, and success measures.
• Create a high-accountability, high-collaboration culture focused on quality, speed, and business impact.

Enable follow-the-sun product delivery

• Serve as the leadership bridge between US business teams and global delivery teams, including India, to maintain momentum across time zones.
• Ensure work is clearly translated, prioritized, and handed off so teams can execute with minimal delay.
• Improve delivery continuity by reducing blockers, clarifying decisions, and ensuring work is ready for the next team to advance.

Lead product ownership for AI solutions

• Provide product ownership for AI and digital solutions within Agile delivery models.
• Own and oversee product backlogs, including prioritization, refinement, and readiness for engineering execution.  
• Ensure requirements, acceptance criteria, and dependencies are clearly defined to support high-quality delivery.

Translate business needs into technical execution

• Articulate business requirements into product user stories and engineering requirements.
• Convert business objectives into actionable product requirements and delivery plans.
• Work closely with engineering, data science, and technical teams to align on scope, tradeoffs, and execution path.

Improve execution excellence and delivery velocity

• Implement consistent product management and Agile practices across the team.
• Track delivery performance, identify bottlenecks, and improve team throughput and handoff quality.
• Introduce scalable mechanisms, tools, and operating rhythms that improve speed, transparency, and predictability.

Measure product and business outcomes

• Define and monitor product metrics, adoption measures, delivery KPIs, and where applicable model-performance indicators.
• Use data, stakeholder feedback, and operational insights to inform prioritization and continuous improvement.
• Provide clear, decision-ready updates to leadership on progress, risks, and outcomes.

Basic Qualifications:

• Doctorate degree and 3 years of technology and/or product management experience
• Masters degree and 5 years of technology and/or product management experience
• Bachelor degree and 7 years of technology and/or product management experience
• Associate degree and 9 years of technology and/or product management experience
• High school diploma / GED and 13 years of technology and/or product management experience

Preferred Qualifications:

• 6+ years of product management (or related) experience; 4+ years in AI/ML or data-driven products.
• Experience with AI platforms, MLOps, or enterprise AI architecture.
• Familiarity with AI (e.g., LLMs, agents, NLP) and ML productization at scale.
• Strong presentation and public speaking skills with experience communicating to executives
• Familiarity with biotech workflows (e.g., lab automation, computational biology, clinical data, etc).
• Hands-on ability to analyze product usage, model output quality, or design A/B experiments.

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