Data Steward, Data & AI Enablement (AuRA)

Career Category

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 2026 we were once again distinguished as one of the top Best Workplaces in the country (category 201500 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 peoples lives.

Data & AI Enablement Manager (AuRA)

LIVE

WHAT YOU WILL DO

The Neural Nexus team at Amgen is helping accelerate an AI-driven transformation across the business. Within Neural Nexus AI Data Enablement (AuRA) is focused on building scalable governed AI-ready data foundations and data products that power commercial analytics and AI use cases across Amgen.

In this vital role you will be responsible for the execution and delivery of AI-enabled data foundations and data products supporting the build operationalization and management of scalable and reusable data solutions. You will own assigned workstreams end-to-end ensuring solutions are implemented on time meet quality standards and drive measurable business value.

You as our Data & AI Enablement Manager (AuRA) will partner cross-functionally with Global Customer Capability and Innovation Technology and Engineering teams to deliver trusted and reusable data assets aligned to business priorities. You will also support data stewardship governance and FAIR-aligned data practices to enable consistent reusable and business-ready data across AuRA.

Responsibilities will include:

• Lead execution of AuRA data enablement workstreams from intake design and development through deployment and operationalization.
• Deliver AI-enabled data products and pipelines that support commercial analytics and downstream applications.
• Ensure solutions are delivered on time within scope and aligned to business requirements.
• Coordinate readiness activities including user acceptance testing access provisioning documentation and production handoff.
• Implement and scale AI-ready data foundations within AuRA integrating structured and unstructured data sources.
• Build and manage reliable scalable data pipelines with appropriate monitoring logging and versioning.
• Support the development of reusable capabilities including data models curated data layers metadata tagging and taxonomy frameworks and data discoverability and access enablement.
• Enforce data governance practices including data ownership and stewardship data lineage and traceability and role-based access controls.
• Ensure adherence to FAIR principles and Clean Core alignment and support data quality processes including quality control master data management and affiliation.
• Manage multiple concurrent workstreams including scope timelines risks dependencies and delivery health.
• Partner with Commercial CD&A Analytics Technology and Engineering teams to translate business needs into scalable data solutions and maintain execution alignment.
• Support onboarding activities including training sessions documentation data product guides and working sessions with end users to enable adoption and value realization.
• Gather feedback from users and stakeholders and contribute to repeatable scalable delivery frameworks for continuous improvement.

WIN

WHAT WE EXPECT OF YOU

Our ideal candidate is a structured team player with strong execution focus. He/she is problem solving result oriented and has time process and stakeholder management skills.

Proven experience and skills needed:

• Minimum 5 years of experience in Pharma/Biotech AI/ML data science or computer science.
• OR Masters degree and 5 years of data science computer science analytics engineering or related field experience.
• OR Bachelors degree and 7 years of data science computer science analytics engineering or related field experience.
• Strong experience in data platform implementation and data enablement delivery.
• Solid understanding of data pipelines (ETL/ELT) data modeling and data integration.
• Understanding of data governance MDM affiliation and data quality frameworks.
• Understanding of AI/ML data requirements and data readiness.
• Experience with modern data platforms such as Snowflake Databricks Airflow and cloud environments.
• Proven ability to manage multiple concurrent workstreams and complex dependencies.
• Ability to translate business needs into scalable data solutions.
• Fluency in English both in written and oral communication.
• Strong communication and stakeholder management skills.

Preferred Requirements:

• Experience working with commercial pharma datasets including CRM claims HCP/HCO and patient data.
• Strong program management and execution skills.
• Experience supporting governed scalable AI-ready data products and reusable data assets.
• Ability to bridge business stakeholders and technical teams to ensure clarity in requirements and execution.
• Experience supporting onboarding documentation and adoption of data products.
• Ability to identify and proactively mitigate delivery risks and bottlenecks.
• Comfortable working across cross-functional teams in a fast-evolving environment.
• Demonstrates a service-minded attitude.

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.

Objects in your future are closer than they appear. Join us.

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.