Senior Manager, Data Engineer, Clinical Operations

Job description

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: 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. 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 technology trends in GenAI, RAG, semantic search, Databricks, cloud orchestration, and containerization; apply emerging best practices to optimize platform performance, scalability, and cost-effectiveness. Provide guidance and mentorship to junior analysts, interns, and vendor resources on Databricks, technical best practices, and business alignment, fostering a culture of continuous learning and improvement. Qualifications & Experience: 7+ years of cross-domain experience in Data Engineering, Analytics, and AI/ML, with proven hands-on experience implementing and operating data capabilities and solutions in a cloud environment. Strong stakeholder engagement and communication skills; ability to influence and drive adoption of data solutions across functional teams. Domain knowledge across Clinical Trail Delivery, including feasibility, site selection, forecasting and trial execution is a strong plus. Hands-on expertise with Databricks, including Delta Lake, Unity Catalog, Databricks Workflows, Mosaic AI, and MLflow; Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional) is a strong plus. Demonstrated expertise in cloud-native data platforms, ETL/ELT pipeline design, data modeling, and semantic analytics for large-scale, complex datasets, with hands-on DevOps experience. Strong proficiency in Python, SQL, Spark (including PySpark on Databricks), and GenAI frameworks; hands-on experience with LLM architectures, RAG, prompt engineering, and agentic frameworks. Proficiency in creating and maintaining optimal data pipeline architecture for large, complex datasets, including semantic modeling within a domain — preferably life sciences or clinical trial operations. Demonstrated experience delivering production-grade GenAI applications, predictive models, and self-service analytics tools supporting critical clinical business functions. Working knowledge of LLM and GenAI-driven approaches, including RAG, Chain-of-Thought, fine-tuning, vectorization, agentic frameworks, and prompt engineering techniques for improving the accuracy of LLM-based responses. Commitment to engineering excellence, documentation, and process improvement; functional knowledge of Life Sciences R&D and clinical trial operations is highly preferred. Familiarity with clinical trial management systems (e.g., Veeva Vault, Medidata Rave, IRT) and their underlying data structures. If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Compensation Overview: Princeton - NJ - US: $153,770 - $186,327 The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/. Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include: Health Coverage: Medical, pharmacy, dental, and vision care. Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP). Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal suppo