Join our team at AMGEN Capability Center Portugal, number 1 company in Best Workplaces - https://www.greatplacetowork.pt/ - ranking in Portugal (category 201-500 employees) by the Great Place to Work Institute. We have a growing team of 340 talented people and more than 35 different nationalities, diverse areas of expertise and professional experience that are shaping the future of healthcare. This is your chance to explore a world of opportunities in different areas such as Cybersecurity, Data & Analytics, Digital, Technology and Innovation, Finance, General & Admin, Human Resources, Regulatory Affairs and many more. Based in Lisbon's city center, our AMGEN office fosters innovation, excellence, and inspiration. Come thrive with us at AMGEN, supporting our mission To Serve Patients. 

TECHNICAL PRODUCT OWNER - RESEARCH DATA AND ANALYTICS

LIVE

WHAT YOU WILL DO

Let’s do this. Let’s change the world. In this vital role you will primarily focus on aligning data management workflows, implementing standardized data lake solutions, and streamlining data operations for Global Research. Additionally, it will involve identifying and prioritizing requirements, managing team workload, and ensuring the integration of systems. This role also serves as a liaison for Enterprise Engineering and Analytics (EEA), internal and external business partners to ensure governance, alignment and consistency in Amgen Research Foundational Data Systems.

Responsibilities:

• Function as a Product Owner for Research Data and Analytics within a Scaled Agile Framework (SAFe) product team

• Serve as a liaison between global DTI functional areas and global research scientists, prioritizing their needs and expectations

• Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations

• Translate complex scientific and technological needs into clear, actionable requirements for development teams

• Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and milestones

• Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance

• Develop documentations, communication plans and training plans for end users

• Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities

• Ensure operational excellence, cybersecurity and compliance.

WIN

WHAT WE EXPECT OF YOU

We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications.

Basic Qualifications:

Doctorate degree

OR

Master’s degree and 3 years of Information Systems experience

Or

Bachelor’s degree and 5 years of Information Systems experience

Or

Associate’s degree and 10 years of Information Systems experience

Or

High school diploma / GED and 12 years of Information Systems experience

Preferred Qualifications:

• BS, MS or PhD in life sciences, computer science or engineering

• 3+ years of experience in implementing and supporting biopharma research data models and data collection systems

• Familiarity with data architectures and concepts such as semantic data models, graph databases, relational databases

• Familiarity with controlled vocabulary, ontology, data curation and FAIR principles (Findability, Accessibility, Interoperability, Reusability)

• Demonstrated expertise in a scientific domain area and related technology needs

• Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with data

• Understanding of scientific data strategy, data governance, data infrastructure

• Familiarity with one or more agile software development methodologies

• Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team

• An ongoing commitment to learning and staying at the forefront of AI/ML advancements.

Skills:

• Experience with cloud (e.g. AWS) and on-premise compute infrastructure

• Experience with stakeholder management, managing a team of 20, ensuring seamless coordination across teams and driving the successful delivery of technical projects

• Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Plotly, Spotfire and related programming languages like SQL, python

• Experience creating impactful slide decks and communicating data

• Ability to drive projects/company initiatives using Agile methodology

• We understand that to successfully sustain and grow as a global enterprise and deliver for patients — we must ensure a diverse and inclusive work environment.

THRIVE

WHAT YOU CAN EXPECT OF US

• 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.