Manager, Agentic AI

Amgen; Lisboa; On-site; EUR 47,000 - 64,000; Full time

Benefits offered by this job

Flexible work arrangements

Total Rewards benefits

Job summary

AMGEN Capability Center Portugal in Lisbon is seeking a hands-on analytics leader to shape the strategy, development, and scaling of Agentic AI capabilities for commercial teams. You will partner with global and regional stakeholders to embed AI into processes, ensuring governance and security while enabling scalable, trusted AI solutions across markets.

The role emphasizes leadership in data analytics, collaboration with data engineering, and driving adoption of AI-driven insights and

Qualifications

• Approximately 5+ years of relevant experience in analytics, data science, analytical consulting, or data product development.
• Strong hands-on SQL and Python experience for data prep, exploratory analysis, and prototyping.
• Experience with LLMs, Databricks notebooks, Jupyter, or comparable analytics environments.
• Understanding of relational data, data warehouses, data lakes or lakehouses, and data quality.

Responsibilities

• Lead the identification, design, and scaling of Agentic AI use cases that automate workflows and support commercial processes.
• Partner with Commercial, Marketing, Field Excellence, Medical, and Digital teams to translate business challenges into AI capabilities.
• Design and oversee AI agents that synthesize data, generate insights, and support planning and execution.
• Collaborate with Data Engineering, Technology, and AI platform teams to ensure secure data access for AI agents.
• Define governance, guardrails, and human-in-the-loop processes for responsible AI deployment.
• Drive multi-agent architectures coordinating analytics, customer engagement, content, and operational workflows.

Skills

SQL

Python

Stakeholder management

English fluency

Tools

Databricks

Jupyter

n8n

Tableau

Power BI

Job description

Career Category

Sales & Marketing Operations

Job Description

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.

Manager, Agentic AI

LIVE

WHAT YOU WILL DO

Provide input on the strategy, development, and scaling of Agentic AI capabilities that transform how commercial teams access insights, make decisions, and execute work. Design and deploy intelligent AI agents that autonomously analyze data, generate recommendations, orchestrate workflows, and accelerate business outcomes. Partner closely with global and regional stakeholders to embed Agentic AI into commercial processes, ensuring solutions align with business priorities, customer needs, and governance standards. Drive the evolution of AI platforms, knowledge frameworks, and operating models that enable scalable, secure, and trusted AI solutions across markets while allowing flexibility for local adaptation.

Responsibilities:

• Lead the identification, design, and scaling of Agentic AI use cases that automate analytical workflows, decision support, and commercial processes.
• Partner with Commercial, Marketing, Field Excellence, Medical, and Digital teams to translate business challenges into AI agent capabilities that improve productivity and decision quality.
• Design and oversee AI agents that proactively synthesize data, generate insights, recommend next-best actions, and support commercial planning and execution.
• Collaborate with Data Engineering, Technology, and AI platform teams to ensure AI agents have secure access to high-quality data, enterprise knowledge, and business systems.
• Define agent orchestration patterns, governance principles, guardrails, and human-in-the-loop processes to ensure responsible, compliant, and trusted AI solutions.
• Drive the adoption of multi-agent architectures that coordinate specialized agents across analytics, customer engagement, content, and operational workflows.
• Evaluate and implement emerging AI technologies, including large language models, reasoning agents, retrieval-augmented generation (RAG), and autonomous workflow orchestration.
• Establish frameworks to measure AI agent performance, business value, user adoption, quality, and operational efficiency through continuous monitoring and optimization.
• Act as a strategic advisor and thought leader, helping business stakeholders understand and adopt Agentic AI capabilities while promoting AI literacy across the organization.
• Stay at the forefront of advances in Agentic AI, generative AI, and autonomous systems, translating emerging capabilities into scalable business applications.

Authority:

• Define and influence the Agentic AI roadmap and strategic priorities for commercial data, analytics, and intelligent automation.
• Recommend and govern enterprise AI platforms, models, frameworks, and external technology partners supporting Agentic AI capabilities.
• Establish governance standards, operating principles, and best practices for responsible AI deployment across markets.

Outputs:

• Enterprise-grade AI agents that autonomously generate insights, support decisions, and streamline commercial workflows.
• Accelerated business decision-making through AI-powered recommendations, intelligent automation, and proactive opportunity identification.
• Scalable Agentic AI solutions that improve commercial productivity, customer engagement, and business performance.
• Trusted AI governance, monitoring, and performance frameworks that ensure secure, compliant, and responsible AI adoption.
• A sustainable Agentic AI ecosystem that continuously evolves through learning, feedback, and measurable business 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 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 help 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 and Python (or R) experience for data preparation, exploratory data analysis, statistical analysis, and analytical prototyping
• Experience using Large-Language Models (LLM), n8n workflows, 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.

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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.

Salary Range

47,474.20EUR-64,229.80EUR