Job Description

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

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.

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

Compensation Overview:

Princeton - NJ - US: $153,770 - $186,327

The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits:

Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).

U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.

Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.

Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.

U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

For roles based in Washington State only: If you live in or expect to work from Washington State if hired for this position, please visit this page for important information about the Washington Fair Chance Act.

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If this posting is missing required information required by local law or incorrect, contact BMS at TAEnablement@bms.comwith the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.

R1604108 : Senior Manager, Data Engineer, Clinical Operations