Senior Manager, Data Engineer, Clinical Operations Princeton - NJ - US R1604108 Posted

Position: Senior Manager, Data Engineer, Clinical Operations Princeton - NJ - US R1604108 Posted a day ago
## Senior Manager, Data Engineer, Clinical Operations Princeton - NJ - USFind out how well you match with this job
** 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:
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* Position Summary:

** As a Senior Manager, Data Engineer, you will play a vital role in supporting the broader Data Engineering community to deliver cutting-edge data and analytics platforms for our Global Drug Development (GDD)
** Patient & Site engagement and Feasibility & Forecasting
** domain.

We seek a candidate who excels at creating innovative, reliable, secure, and easy-to-use data ecosystems that support the full data product lifecycle — including ingesting, storing, processing, governing, and interacting with data.

You will collaborate closely with BI&T partners, business analysts, and data engineers, as well as Clinical Operations specialists, Trial Management professionals, and other domain experts to support various data-driven initiatives and enhance the overall BMS data ecosystem. Additionally, you will be expected to leverage Generative AI (GenAI), Databricks, and semantic technologies to drive innovation and efficiency within our data platforms.
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* Key Responsibilities:

*** Support and contribute to cross-functional teams for all AI and Data initiatives across Clinical Trial Operations product lines, helping drive critical programs forward in a lean, high-impact environment.
* Develop and enhance data solutions to accelerate data usage across clinical R&D, ensuring robustness, interoperability with consumer applications, and scalability.
* Collaborate with BI&T partners, clinical study teams, Clinical trial analysts, trial managers, clinical operations leads, domain experts, and cross-functional leaders in data engineering, data product teams, and data operations to support effective adoption of our Data Platform.
* Partner with business and data product owners to deliver solutions for data product development, standardization, testing, lineage, meeting latency requirements, and ensuring access governance across clinical trial data assets.
* Optimize the data platform for performance, scalability, interoperability, availability, and cost-effectiveness using techniques such as cloud-native parallel processing, Databricks Delta Lake, caching, and partitioning.
* Utilize Databricks Unity Catalog to enforce data governance, manage metadata, and ensure end-to-end data lineage across clinical trial data products.
* Contribute to the development of self-service data discovery solutions, fostering findability, accessibility, and reusability of clinical trial operational data assets.
* Maintain documentation of processes, structures, and knowledge sharing; deliver strong technical recommendations and execute solutions effectively across the enterprise.
* Build and deploy GenAI-powered and NLP-driven applications that deliver measurable outcomes across clinical trial operations, including efficiency gains, trial timeline acceleration, risk mitigation, and compliance automation.
* Collaborate with data product owners, engineers, and data scientists to develop and operationalize cloud-based GenAI and LLM-powered applications, utilizing techniques such as RAG, fine-tuning, and vector embeddings to deliver high-quality data discovery and consumption features for clinical operations workflows.
* Stay current on…