Position Summary:

As aSenior 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 ourGlobal 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 fulldata product lifecycle 6 including ingesting, storing, processing, governing, and interacting with data.

You will collaborate closely with BI&T partners, business analysts, and data engineers, as well asClinical 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 leverageGenerative AI (GenAI),Databricks, andsemantic technologiesto drive innovation and efficiency within our data platforms.

Key Responsibilities:

• Support and contribute to cross-functional teams for allAI and Data initiativesacross Clinical Trial Operations product lines, helping drive critical programs forward in a lean, high-impact environment.

• Develop and enhance data solutions toaccelerate data usage across clinical R&D, ensuring robustness, interoperability with consumer applications, and scalability.

• Collaborate withBI&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 fordata product development, standardization, testing, lineage, meeting latency requirements, and ensuring access governance across clinical trial data assets.

• Optimize the data platform forperformance, scalability, interoperability, availability, and cost-effectivenessusing techniques such as cloud-native parallel processing,Databricks Delta Lake, caching, and partitioning.

• UtilizeDatabricks Unity Catalogto enforce data governance, manage metadata, and ensure end-to-end data lineage across clinical trial data products.

• Contribute to the development ofself-service data discovery solutions, fostering findability, accessibility, and reusability of clinical trial operational data assets.

• Maintaindocumentation of processes, structures, and knowledge sharing; deliver strong technical recommendations and execute solutions effectively across the enterprise.

• Build and deployGenAI-powered and NLP-driven applicationsthat 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 operationalizecloud-based GenAI and LLM-powered applications, utilizing techniques such asRAG, fine-tuning, and vector embeddingsto deliver high-quality data discovery and consumption features for clinical operations workflows.

• Stay current on technology trends inGenAI, 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 onDatabricks, technical best practices, and business alignment, fostering a culture of continuous learning and improvement.

Qualifications & Experience:

• 7+ yearsof cross-domain experience inData Engineering, Analytics, and AI/ML, with proven hands-on experience implementing and operating data capabilities and solutions in a cloud environment.

• Strongstakeholder 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 incloud-native data platforms, ETL/ELT pipeline design, data modeling, and semantic analyticsfor large-scale, complex datasets, with hands-on DevOps experience.

• Strong proficiency inPython, SQL, Spark (including PySpark on Databricks), and GenAI frameworks; hands-on experience withLLM architectures, RAG, prompt engineering, and agentic frameworks.

• Proficiency in creating and maintaining optimaldata pipeline architecturefor large, complex datasets, including semantic modeling within a domain 6 preferably life sciences or clinical trial operations.

• Demonstrated experience deliveringproduction-grade GenAI applications, predictive models, and self-service analytics tools supporting critical clinical business functions.

• Working knowledge ofLLM 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 toengineering excellence, documentation, and process improvement; functional knowledge of Life Sciences R&D and clinical trial operations is highly preferred.

• Familiarity withclinical 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 doesnt 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:

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 employees 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

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 support, and survivor support.

Work-life benefits include:

Paid Time Off

• US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

• Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.