Bristol Myers Squibb (BMS) is looking to develop and operationalize a comprehensive data information model to support downstream Global Product Development and Supply (GPS) use cases, such as AI deployment and self-service analytics.
Requirements
- Experience with programming languages relevant to managing data and information models (e.g., Python, Java, Scala).
- Proficiency with modern analytics tools and technologies, potentially including GitHub, SQL, R, dbt , Domino, Tableau, etc.
- Experience designing, implementing, and managing graph models and, ideally, applications related to information modeling or interest in learning is desired.
- Experience with cloud environments and services, preferably AWS.
- Experience with graph platforms (e.g., Neo4j, Amazon Neptune), including model design and queryin g preferred.
- Demonstrated ability to conceptualize, design, and refine ontologies to accurately model domain knowledge, entities, relationships, and rules for organizational data preferred.
- Experience with DevOps principles for CI/CD pipelines .
Responsibilities
- Help implement infrastructure around information models , leveraging emerging technologies to deliver business value.
- Ensure adherence to SDLC and analytics best practices (scalability, version control, documentation, deployment).
- Partner with stakeholders to capture business needs.
- Translate complex concepts for various stakeholders and be willing and able to implement those solutions using a robust SDLC process .
Other
- 1 + years of experience in Information Technology, data analytics, or related industries is highly desired
- 1+ year experience working on information model relevant workflows and/or tools: semantic model development, data ontologies, application of graph databases is a significant differentiator
- Hands-on experience with SDLC methodologies, including DevOp s, Agile, and Waterfall, i deally in regulated environments is preferred.
- A bachelor's degree in a quantitative or scientific discipline is required .
- Occasional travel to BMS locations throughout the world is anticipated .
