Manager, Advanced Analytics & Data Products

Overview 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 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, 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. Position Manager, Advanced Analytics & Data Products WHAT WE WILL DO 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. WIN WHAT WE EXPECT OF YOU We are looking for a hands-on analytics leader who can connect business needs, data, analytical methods, and technology delivery. You will work closely with stakeholders across more than 50 markets to identify high-value customer engagement use cases and translate them into practical analytical solutions. You should be comfortable moving between stakeholder discussions, direct data investigation, analytical prototyping, and coordination with data engineering and technology teams. The ideal candidate can independently explore data using SQL and Python , evaluate data quality and feasibility, and develop prototypes in environments such as Jupyter or Databricks notebooks. You will not be expected to productionize solutions independently, but you should understand how analytical prototypes progress through data engineering, testing, deployment, monitoring, and continuous improvement. You should have experience applying analytical techniques such as segmentation, clustering, classification, forecasting, anomaly detection, experimentation, optimization, or NLP. More important than expertise in every technique is the ability to select an appropriate, explainable, and scalable approach for the business problem. You will also act as an analytical product owner for HEART modules, helping define business logic, data requirements, trigger conditions, prioritization criteria, success metrics, and enhancement roadmaps. You should be able to communicate analytical findings, assumptions, risks, and limitations clearly to both technical and non-technical audiences. Minimum Requirements Approximately 5+ years of relevant experience in analytics, data science, analytical consulting, or data product development Strong hands-on SQL skills Hands-on Python (or R) experience for data preparation, exploratory data analysis, statistical analysis, and analytical prototyping Experience using Jupyter, Databricks notebooks, or comparable analytical environments Understanding of relational data, data warehouses, data lakes or lakehouses, table relationships, data granularity, and data quality Experience translating business questions into analytical requirements, prototypes, and measurable outcomes Experience with several analytical methods relevant to customer analytics, such as segmentation, clustering, classification, forecasting, anomaly detection, or experimentation Demonstrated experience managing cross-functional analytical projects from concept through pilot, deployment, adoption, and enhancement Strong stakeholder-management and communication skills Fluency in written and spoken English Preferred Requirements Experience with Databricks or another cloud-based analytics platform Knowledge of medallion architecture, data onboarding, data lineage, and modern data-engineering workflows Experience in pharmaceutical, biotechnology, healthcare, or another regulated industry Experience with omnichannel analytics, next-best-action, customer engagement, or personalization Familiarity with NLP, LLM-enabled applications, or text analytics Experience with a visualization platform such as Tableau, Power BI, Qlik Sense, or equivalent Understanding of CI/CD, DevOps, MLOps, model monitoring, and production deployment processes Experience working across multiple countries or in a complex matrix organization THRIVE WHAT YOU CAN EXPECT OF US As we work to develop treatments that take care of others, we also care deeply for our teammates' well-being and growth. Vast opportunities to learn, develop, and move up and across our global organization. Diverse and inclusive community of belonging, where colleagues are empowered to bring ideas to the table, take risks, and act. Generous AMGEN Total Rewards Plan comprising healthcare, finance, wealth, and career benefits. Flexible work arrangements. APPLY NOW Objects in your future are closer than they appear. Join us. CAREERS.AMGEN.COM EQUAL OPPORTUNITY STATEMENT AMGEN is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. #J-18808-Ljbffr