Manager, Advanced Analytics & Data Products

Manager, Advanced Analytics & Data Products

Join our team at AMGEN Capability Center Portugal, consistently recognized among the top companies in the Best Workplaces™ ranking by Great Place to Work® in Portugal. In 2026, we were once again distinguished as one of the top Best Workplaces in the country (category 201–500 employees), reinforcing our commitment to an exceptional employee experience and workplace culture.

We are a team of over 500 talented individuals, spanning more than 30 functions and areas of expertise, and representing over 40 nationalities. Together, we bring diverse perspectives and professional backgrounds to help shape the future of healthcare through innovation and technology.

This is your opportunity to explore a world of possibilities across areas such as Data & Analytics, Digital, Technology & Innovation, Cybersecurity, R&D Operations, Global Distribution, Finance, Regulatory Affairs, General & Administrative, Human Resources, and many more.

Located in the heart of Lisbon, our AMGEN office fosters a culture of innovation, excellence, and purpose. Come thrive with us at AMGEN, supporting our mission To Serve Patients.

What we do at AMGEN matters in people's lives.

Lead the development and scaling of advanced analytics capabilities to enable precise, customer-centric multichannel engagement across global markets, driving the identification, integration, and activation of diverse data sources to deliver the right customer, through the right channel, with the right message, content, and timing. Partner closely with global and regional stakeholders to embed data-driven decision-making into commercial strategies, ensuring strong alignment with business priorities and customer needs.

Continuously shape and evolve analytical frameworks, data models, and measurement approaches to optimize customer engagement effectiveness and business impact, while ensuring consistency, quality, and robust governance of data and analytics solutions across markets, balanced with the flexibility required for local adaptation.

Responsibilities:

• Collaborate with Commercial, Marketing, Field Excellence, and Digital teams to translate business questions into analytical use cases focused on customer targeting, segmentation, and personalization.
• Support the design, development, and deployment of advanced analytical models (e.g., segmentation, next-best-action, channel optimization, propensity modeling) to enhance customer engagement strategies.
• Analyze customer journeys across channels to identify optimization opportunities and recommend actionable insights on timing, messaging, and content effectiveness.
• Provide input for scalable data products, dashboards, and reporting tools that provide clear visibility into omnichannel performance and customer behavior.
• Partner with Technology and Data Engineering teams to ensure robust data pipelines, high-quality data integration, and efficient data accessibility.
• Support experimentation and test-and-learn frameworks (e.g., A/B testing, uplift modeling) to continuously refine engagement strategies.
• Act as an advisor to stakeholders by communicating insights in a clear, compelling, and business-relevant manner.
• Stay at the forefront of industry trends, including AI/ML and personalization, and translate them into practical applications within the organization.

Authority:

• Provide strategic input and guidance to the O-US data and reporting roadmap.
• Select and oversee vendors supporting customer engagement and sales reporting capabilities.

Outputs:

• Actionable insights and recommendations that improve customer targeting, channel mix, messaging, and timing across the customer lifecycle.
• Scalable analytical models and tools that enable data-driven personalization and next-best-action capabilities.
• Improved customer engagement effectiveness, measured through increased conversion, adoption, and customer experience metrics.
• A robust experimentation framework that drives continuous optimization and learning.
• Strong alignment between data, analytics, and business strategy, resulting in measurable commercial impact.

What we expect of you:

We are looking for a hands-on analytics leader who can…