Context Engineer-II
Bristol Myers Squibb
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.
Position Summary
The Context Engineer is responsible for supporting the design, implementation, maintenance, and governance of the enterprise semantic layer that underpins the organization’s Commercial data strategy. Working with and functionally reporting to the Lead Data Architect, this role helps develop and operationalize ontological models, taxonomy frameworks, business glossaries, metadata management practices, business context layers, and semantic governance processes that enable consistent interpretation of Commercial data across Sales, Marketing, Market Access, Medical Affairs, Regulatory Affairs, Finance, Analytics, and data product teams.
Key Responsibilities
- Support the Lead Data Architect in designing, implementing, maintaining, and governing the enterprise semantic layer that underpins the Commercial data strategy and enables consistent interpretation of data across Sales, Marketing, Market Access, Medical Affairs, Regulatory Affairs, Finance, Analytics, and data product teams.
- Develop and maintain ontological models that represent Commercial domain knowledge structures, including products, stakeholders, channels, outcomes, metrics, business events, and their interrelationships, enabling consistent reasoning across systems, analytical platforms, data products, and AI-enabled solutions.
- Design and maintain taxonomy frameworks and classification structures for Commercial content, data assets, business processes, domains, entities, and use cases, enabling reliable search, segmentation, reporting, reuse, and alignment with pharma commercial operations.
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