Amgen
Pharmaceutical
MgrDataSciences-InformationandDataArchitecture
Neural analysis suggests this role is
optimal for Manager candidates.
“Mgr Data Sciences - Information and Data Architecture at Amgen. Skills: Semantic modeling, Knowledge graphs, Generative AI, Data architecture. Lead and manage a team. Define team priorities”
Industry & Context.
Problem-solving; Analytical; Critical thinking
What They're Looking For.
Must Have
Doctorate Degree, Master's degree with 4-6 years of experience, Bachelor's degree with 6-8 years of experience, Diploma with 10-12 years of experience
Nice to Have
Experience in regulatory data modeling, Familiarity with pharmaceutical lifecycle data, Knowledge of supply chain and operations data modeling, Proficiency in integrating data from LIMS, Proficiency in integrating data from EDC systems, Proficiency in integrating data from MES, Expertise in FHIR data standards
What You'll Do.
Lead and manage a team
Define team priorities
Ensure successful delivery
Lead conversations with business stakeholders
Elucidate semantic models
Negotiate and debate across stakeholders
Create system-independent information models
Design a connected data ecosystem
Develop a connected data ecosystem
Deploy a connected data ecosystem
Provide technical leadership
Develop business information models
Facilitate whiteboarding sessions
Drive interoperability
Interface between data producers and consumers
Educate and mentor a team
Educate and mentor peers
Formalize data models in RDF
Build a semantic knowledge graph
Guide development of intelligent systems
Combine structured and unstructured data
Apply semantic abstraction
Simplify pharmaceutical data patterns
Simplify healthcare data patterns
Drive adoption of FAIR data principles
Drive adoption of data-centric design
Drive adoption of semantic interoperability
How You'll Work.
Team & Collaboration
Cross-functional data initiatives; Business subject matter experts
Communication Scope
Business analysis; Facilitation; Interpersonal skills
Process & Methodology
Scope management
Full Job Description
## **Career Category** Operations ## ## **Job Description** ** _ABOUT AMGEN_** Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. **_ABOUT THE ROLE_** You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative leverages state-of-the-art technologies, including Generative AI, Structured Content Management, and integrated data to create a foundational knowledge repository for Operations Transformation prioritized initiatives. ** _Role Description:_** The Mgr Data Sciences is a mid-level position responsible for developing interconnected business information and data architecture and ontologies that capture real-world meaning of data by studying the business, our data, and the industry. With a focus on pharmaceutical industry-specific data, including Operations domains such as Process Development, Quality, Manufacturing, Engineering and Supply Chain, this role involves creating robust semantic models based on data-centric principles to realize a connected data ecosystem that empowers consumers. The Information and Data Architect drives seamless cross-functional data interoperability, enables efficient decision-making, and supports digital transformation in pharmaceutical operations. ** _Roles & Responsibilities:_** * Lead and manage a team of Data Scientists (approximately 4–6 direct reports), providing mentorship, coaching, and performance management. * Define team priorities, manage scope, and ensure successful delivery of connecte
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