Senior Manager, Data Engineer, Clinical Operations

Bristol Myers Squibb • Princeton, NJ

5d • $153,770 - $186,327

About The Position

As a Senior Manager, Data Engineer, you will support the broader Data Engineering community in delivering data and analytics platforms for Global Drug Development Patient & Site Engagement and Feasibility & Forecasting. You will help build reliable, secure, accessible data ecosystems across the data product lifecycle, from ingestion and storage to processing, governance, and data interaction. The role works with BI&T partners, business analysts, data engineers, Clinical Operations specialists, trial management professionals, and other domain experts to advance data initiatives and the BMS data ecosystem. It also applies Generative AI, Databricks, and semantic technologies to improve data platforms and clinical operations workflows.

Requirements

• At least 7 years of cross-domain experience in Data Engineering, Analytics, and AI/ML, including hands-on implementation and operation of data capabilities and solutions in a cloud environment.
• Strong stakeholder engagement and communication skills, with the ability to influence and drive adoption of data solutions across functional teams.
• Hands-on expertise with Databricks, including Delta Lake, Unity Catalog, Databricks Workflows, Mosaic AI, and MLflow.
• Expertise in cloud-native data platforms, ETL/ELT pipeline design, data modeling, semantic analytics for large-scale complex datasets, and hands-on DevOps.
• 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.
• Ability to create and maintain effective data pipeline architecture for large, complex datasets, including semantic modeling within a domain.
• Experience delivering production-grade GenAI applications, predictive models, and self-service analytics tools for critical clinical business functions.
• Working knowledge of GenAI approaches including RAG, Chain-of-Thought, fine-tuning, vectorization, agentic frameworks, and prompt engineering to improve the accuracy of LLM-based responses.
• Commitment to engineering excellence, documentation, and process improvement.

Nice To Haves

• Clinical trial delivery domain knowledge, including feasibility, site selection, forecasting, and trial execution.
• Databricks certification, such as Databricks Certified Data Engineer Associate or Professional.
• Functional knowledge of Life Sciences R&D and clinical trial operations.
• Familiarity with clinical trial management systems such as Veeva Vault, Medidata Rave, and IRT, and their underlying data structures.

Responsibilities

• Support cross-functional AI and data initiatives across Clinical Trial Operations product lines.
• Develop and enhance robust, interoperable, and scalable data solutions that accelerate data use across clinical R&D.
• Collaborate with BI&T partners, clinical study teams, clinical trial analysts, trial managers, clinical operations leads, domain experts, and data engineering, data product, and data operations teams to support adoption of the Data Platform.
• Partner with business and data product owners on data product development, standardization, testing, lineage, latency requirements, and access governance for clinical trial data assets.
• Optimize platform performance, scalability, interoperability, availability, and cost-effectiveness using cloud-native parallel processing, Databricks Delta Lake, caching, and partitioning.
• Use Databricks Unity Catalog to enforce data governance, manage metadata, and maintain end-to-end data lineage across clinical trial data products.
• Contribute to self-service data discovery solutions that improve findability, accessibility, and reusability of clinical trial operational data assets.
• Document processes and structures, share knowledge, provide technical recommendations, and execute solutions across the enterprise.
• Build and deploy GenAI-powered and NLP-driven applications that deliver outcomes for 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 using techniques such as RAG, fine-tuning, and vector embeddings.
• Track technology trends in GenAI, RAG, semantic search, Databricks, cloud orchestration, and containerization, and apply emerging best practices.
• Guide and mentor junior analysts, interns, and vendor resources on Databricks, technical best practices, and business alignment.

Benefits

• Comprehensive benefit plans, including wellbeing support, retirement and financial protection benefits, and medical, dental, vision, life, and disability insurance offerings, subject to plan terms and eligibility.
• Flexible Time Off without a set accrual limit for eligible U.S.-based exempt employees, subject to manager approval.
• 11 paid company holidays each year for eligible employees.
• For specified employee groups, 160 hours of paid vacation annually for new hires, subject to manager approval, 11 paid company holidays, and 3 optional holidays.
• Depending on eligibility, 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 may receive an annual Global Shutdown between Christmas Day and New Year's Day.
• Potential eligibility for discretionary incentive cash and stock opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed