
Multinational biopharmaceutical company.
Data Steward, Data & AI Enablement (AuRA) at Amgen
About the role
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.
Data & AI Enablement Manager (AuRA)LIVEWHAT 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.
WINWHAT 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 Master’s degree and 5 years of data science, computer science, analytics, engineering, or related field experience.
- OR Bachelor’s 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.
THRIVEWHAT 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.
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Vast opportunities to learn, develop, and move up and across our global organization.
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Diverse and inclusive community of belonging, where colleagues are empowered to bring ideas to the table, take risks, and act.
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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.COMEQUAL 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.
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Required skills
Data stewardship
Data governance
Data quality
Metadata management
Stakeholder collaboration
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About Amgen

Amgen
PublicA biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.
10,001+
Employees
Thousand Oaks
Headquarters
$138B
Valuation
Reviews
24 reviews
3.6
24 reviews
Work-life balance
3.2
Compensation
3.5
Culture
3.1
Career
2.8
Management
3.4
65%
Recommend to a friend
Pros
Excellent benefits and health benefits
Good pay and compensation
Supportive management and leadership
Cons
Limited career growth and promotion opportunities
Work-life balance challenges and long hours
Bureaucratic processes
Salary Ranges
1,002 data points
L2
L6
L3
L4
L5
L2 · Financial Analyst L2
0 reports
$94,068
total per year
Base
$37,627
Stock
$47,034
Bonus
$9,407
$65,848
$122,288
Interview experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
40%
Experience
Positive 20%
Neutral 80%
Negative 0%
Interview process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Final Round/Panel Interview
6
Offer
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
Culture Fit
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