Senior Manager, Data Engineer, Clinical Operations

About the role

Working at Bristol Myers Squibb is challenging, meaningful, and life-changing. Here, uniquely interesting work happens every day, transforming 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. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment, offering a wide variety of competitive benefits, services, and programs that provide employees with resources to pursue their goals, both at work and in their personal lives.

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.
• 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.

Requirements

• 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 Trial 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.

Pay

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.

Benefits

• 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:
  • 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 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 Year's 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.