Digital Product Strategy and Innovation Manager x3

📍 Job Overview

Job Title: Digital Product Strategy and Innovation Manager (x3)

Company: Amgen

Location: Lisbon, Portugal

Job Type: Full-Time

Category: Digital Product Management / Innovation Operations

Date Posted: May 22, 2026

Experience Level: Mid-Senior Level (2-8 years depending on education)

Remote Status: Hybrid

🚀 Role Summary

• This role is pivotal in managing digital product strategy and fostering innovation within Amgen's AI Digital Product Enablement team.

• It involves acting as a Product Owner for AI and digital solutions, ensuring seamless execution across a global, follow-the-sun operating model.

• The position requires translating complex business priorities into actionable product requirements for engineering and data science teams.

• Key focus areas include driving execution excellence, ensuring delivery quality, and measuring product and business outcomes through robust metrics and KPIs.

📝 Enhancement Note: While titled "Digital Product Strategy and Innovation Manager," the core responsibilities and "Product Owner" designation strongly align with a specialized Product Operations or GTM Operations role focused on AI/ML product delivery and cross-functional enablement. The "follow-the-sun" aspect implies a significant operational coordination challenge.

📈 Primary Responsibilities

• Serve as a Product Owner within Agile frameworks for AI and digital solutions, managing product backlogs, prioritization, and refinement.

• Act as a daily liaison between US-based business stakeholders and global delivery teams (including India) to ensure continuity and momentum across time zones.

• Translate business needs into clear, actionable product requirements, user stories, and acceptance criteria for engineering and data science execution.

• Drive execution excellence by applying consistent product management and Agile practices, identifying and mitigating delivery bottlenecks.

• Define, monitor, and report on product metrics, adoption measures, delivery KPIs, and model performance indicators to inform continuous improvement.

• Collaborate with peers within the Portugal enablement team to standardize practices, improve handoff quality, and enhance stakeholder experiences.

• Partner with engineering, data science, and technical teams to align on scope, manage tradeoffs, and define execution paths for AI/ML initiatives.

• Contribute to the development and strengthening of Amgen's global AI product delivery model through disciplined product ownership and operational support.

📝 Enhancement Note: The responsibilities emphasize operational coordination, process adherence, and cross-functional communication, which are core to RevOps/SalesOps/Product Ops roles. The "follow-the-sun" model highlights the need for robust process documentation and clear handoff procedures.

🎓 Skills & Qualifications

Education:

• Doctorate degree; OR

• Master’s degree and 2 years of technology and/or product management experience; OR

• Bachelor’s degree and 4 years of technology and/or product management experience; OR

Experience:

• Minimum of 2 years of experience in technology and/or product management, with the required years aligning with the educational attainment.

• 4+ years of product owner (or related) experience is preferred.

• At least 2 years of experience specifically in AI/ML or data-driven products is preferred.

Required Skills:

• Proven Product Ownership skills within Agile delivery models.

• Strong ability to manage and prioritize product backlogs effectively.

• Expertise in creating clear user stories, acceptance criteria, and defining requirements.

• Demonstrated ability to translate business needs into technical execution plans.

• Experience in stakeholder management and communication with business, engineering, and data science teams.

• Technical fluency and understanding of AI/ML concepts.

• Operational discipline and focus on execution excellence and delivery quality.

Preferred Skills:

• 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 executive communication experience.

• Hands-on ability to analyze product usage, model output quality, or design A/B experiments.

📝 Enhancement Note: The experience requirements are broad, allowing for diverse educational backgrounds. However, the preference for AI/ML product experience and specific biotech workflow familiarity indicates a specialized operational focus within a scientific domain. The "technical fluency" and "data analysis" requirements point towards a need for operations professionals comfortable with technical details and data-driven decision-making.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated experience in managing product backlogs and user stories for complex software development, particularly AI/ML initiatives.

• Case studies showcasing successful translation of business requirements into actionable product specifications for engineering and data science teams.

• Examples of how you have supported a "follow-the-sun" or distributed team model, highlighting process improvements for cross-time zone collaboration and handoffs.

Process Documentation:

• Ability to create and maintain clear, concise documentation for user stories, acceptance criteria, dependencies, and requirements to ensure high-quality delivery.

• Experience in developing and implementing structured tools, processes, and operating rhythms to improve speed, transparency, and predictability in product delivery.

• Documentation of processes used to identify and resolve blockers, clarify open questions, and ensure seamless work handoffs between geographically dispersed teams.

• Examples of how you have used data and stakeholder feedback to inform prioritization and drive continuous improvement in product development lifecycles.

📝 Enhancement Note: For a role focused on product operations and enablement, a portfolio demonstrating structured process management, clear documentation of technical requirements, and evidence of improving cross-functional and cross-geo collaboration is crucial. Highlighting experience with Agile methodologies and AI/ML specific workflows will be advantageous.

💵 Compensation & Benefits

Salary Range:

Given the role's mid-senior level, the "follow-the-sun" operational complexity, and Amgen's status as a global biopharmaceutical leader, a competitive salary range for a Digital Product Strategy and Innovation Manager in Lisbon, Portugal, would typically fall between €55,000 and €85,000 annually. This estimate considers the cost of living in Lisbon, the specialized nature of AI/ML product management, and industry benchmarks for similar roles in major European tech hubs.

Benefits:

• Vast opportunities to learn, develop, and move up and across Amgen's global organization.

• Diverse and inclusive community of belonging, fostering empowerment, risk-taking, and proactivity.

• Generous AMGEN Total Rewards Plan, encompassing:

  • Healthcare benefits
  • Finance benefits
  • Wealth benefits
  • Career benefits

Working Hours:

• The role supports a "follow-the-sun operating model," indicating a need for flexibility and potential overlap with different time zones. While a standard 40-hour work week is implied, the operational demands may require adaptability to ensure seamless communication and collaboration with teams in the US and India.

📝 Enhancement Note: Salary estimates are based on general market data for Lisbon and the specific requirements of the role. Amgen's explicit mention of a "Total Rewards Plan" suggests a comprehensive benefits package beyond standard offerings, which is attractive to operations professionals seeking stability and growth. The "follow-the-sun" model implies a need for clear communication around working hours and potential on-call expectations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Biotechnology / Pharmaceuticals. Amgen is a leader in discovering, developing, manufacturing, and delivering innovative human therapeutics. The company operates at the intersection of cutting-edge science, advanced technology, and patient care, making operational excellence critical to its mission.

Company Size: Over 500 employees at the AMGEN Capability Center Portugal; global company size is significantly larger. This size suggests a well-established corporate structure with dedicated operational functions and resources, offering opportunities for specialization and impact within a robust framework.

Founded: Amgen was founded in 1980. This long history indicates a stable, experienced organization with a proven track record, likely possessing mature operational processes and a deep understanding of its industry challenges.

Team Structure:

• AI Digital Product Enablement Team: This specialized team sits within the AI&D Lab Product Management organization.

• Reporting Structure: The role reports to the Associate Director of Product Management based in Portugal.

• Cross-functional Collaboration: Significant collaboration is expected with US-based business stakeholders, global delivery teams (particularly in India), engineering, data science, and other technical teams. The Portugal enablement team also collaborates closely with peers.

Methodology:

• AI/ML Product Delivery: Focus on delivering AI and digital solutions, likely leveraging modern software development methodologies.

• Agile Delivery Models: The role is explicitly an Agile Product Owner, emphasizing iterative development, backlog management, and continuous feedback.

• Follow-the-Sun Operating Model: A core operational methodology designed to maintain continuous delivery and support across global time zones.

• Data-Driven Decision Making: Emphasis on defining and monitoring metrics, KPIs, and model performance to inform product strategy and improvement.

Company Website: careers.amgen.com

📝 Enhancement Note: Amgen's strong reputation in biotech, combined with its significant investment in digital and AI capabilities, positions this role as critical for operational efficiency and innovation. The "follow-the-sun" model implies a need for highly organized and process-oriented individuals who can manage complex interdependencies.

📈 Career & Growth Analysis

Operations Career Level: Mid-Senior Level. This role is ideal for operations professionals looking to specialize in digital product enablement, particularly within the AI/ML domain. It offers a blend of strategic product thinking and hands-on operational execution.

Reporting Structure: Reporting to an Associate Director provides a clear line of management and mentorship within the Portugal-based team, with indirect links to global product management leadership.

Operations Impact: The role directly influences the speed, quality, and effectiveness of AI and digital product delivery, which are critical for Amgen's innovation pipeline and patient-focused mission. By bridging communication gaps and optimizing handoffs, this role directly impacts the company's ability to bring new therapies to market faster.

Growth Opportunities:

• Operations Skill Advancement: Deepen expertise in Agile product ownership, AI/ML product management, and operational coordination for distributed teams.

• Industry Specialization: Gain in-depth knowledge of biotech workflows, AI applications in healthcare, and enterprise AI architecture.

• Leadership Potential: Opportunity to grow into senior product management or operations leadership roles, potentially managing teams or larger initiatives within the AI&D Lab or broader Information Systems function.

• Cross-functional Exposure: Develop a broad understanding of Amgen's global operations, from R&D to distribution, by collaborating with diverse business and technical teams.

📝 Enhancement Note: This role offers a strong pathway for operations professionals to transition into or deepen their expertise in product management, specifically within a high-demand AI/ML sector. The focus on operational excellence within a regulated industry like biotech provides unique challenges and growth opportunities.

🌐 Work Environment

Office Type: Hybrid. Amgen has an established AMGEN Capability Center in Lisbon, Portugal, indicating a modern office environment designed for collaboration. The "hybrid" status means a mix of in-office and remote work is expected.

Office Location(s): Lisbon, Portugal. This location offers a vibrant European city environment with a growing tech and innovation ecosystem.

Workspace Context:

• Collaborative Environment: The office is designed to foster collaboration, likely equipped with meeting rooms, common areas, and technology to support team interactions.

• Operations Tools & Technology: Access to Amgen's standard suite of productivity, communication, and potentially specialized AI/ML development tools will be available.

• Team Interaction: Opportunities for regular interaction with the Portugal-based enablement team and potentially other departments within the Capability Center, fostering a strong sense of community and shared purpose.

Work Schedule:

• The "follow-the-sun operating model" implies a need for flexibility. While a standard 40-hour work week is likely, candidates should be prepared for periods requiring communication or collaboration outside of core local business hours to align with US and Indian teams. This emphasizes the need for strong time management and asynchronous communication skills.

📝 Enhancement Note: The hybrid model combined with the follow-the-sun requirement suggests a work environment that values autonomy and results over strict adherence to traditional office hours. Candidates should be comfortable with proactive communication and managing their schedules to bridge geographical and temporal gaps.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a review of your resume and application by HR or a recruiter, focusing on matching your experience to the basic and preferred qualifications.

• Hiring Manager Interview: A discussion with the Associate Director of Product Management to assess your product ownership skills, understanding of Agile methodologies, and fit with the team's operational approach. Expect questions on your experience with AI/ML products and the "follow-the-sun" model.

• Technical/Panel Interview: This stage may involve technical deep dives into your experience with AI/ML platforms, MLOps, data analysis, and your ability to translate business needs into technical requirements. You might also meet with members of the engineering or data science teams.

• Case Study/Presentation: A common element for product roles. You may be asked to prepare a presentation on a past product initiative, focusing on your role, process, challenges, metrics, and outcomes. This is where your portfolio will be critical.

• Final Interview: Potentially with a senior leader to discuss strategic alignment, cultural fit, and long-term career aspirations within Amgen.

Portfolio Review Tips:

• Quantify Impact: For each project, clearly articulate the business problem, your specific role and actions, the processes you implemented or improved, and the quantifiable results (e.g., % improvement in delivery speed, reduction in errors, user adoption rates).

• Focus on Process: Highlight your experience with Agile methodologies, backlog management, user story creation, and your approach to managing cross-time zone handoffs. Showcase documentation examples if possible.

• AI/ML Relevance: If possible, include examples related to AI/ML products, MLOps, or data-driven initiatives to demonstrate your domain familiarity.

• Storytelling: Structure your portfolio presentations to tell a compelling story about how you drove product success through operational excellence and strategic thinking.

Challenge Preparation:

• Follow-the-Sun Scenarios: Be prepared to discuss how you would manage communication, prioritization, and issue resolution when working with teams in significantly different time zones.

• Product Backlog Prioritization: Practice articulating your framework for prioritizing backlog items based on business value, technical feasibility, and strategic alignment.

• Translating Ambiguity: Prepare examples of how you have taken ambiguous business requests and translated them into clear, actionable