Senior IT Business Analyst

About the role

Bristol Myers Squibb is seeking a Senior IT Business Analyst (Sr. IT BA) – Research Sample & Reagent Management to enable change in a world-class pharmaceutical enterprise by defining needs and recommending solutions that deliver value to our Drug Discovery Researchers. The ideal candidate bridges the gap between business analysis and hands-on development.

Responsibilities

• Develops deep domain knowledge of Sample Management and Reagent Management processes, workflows, and data within the Drug Discovery Research functions.
• Collaborates directly with bench scientists, lab operations teams, and research informatics personnel to translate scientific workflows into actionable digital requirements.
• Acts as a trusted domain liaison — understanding how samples and reagents are tracked, stored, consumed, and reported across the drug discovery lifecycle.
• Partners with IT Peers to provide insightful and actionable analysis in support of the portfolio of digital capability investments across Research IT.
• Shapes Business Demands by eliciting business needs with creative empathy, mapping complex processes, discovering root causes, curating requirements and user stories, and maintaining a spotlight on business value opportunities in support of investment justification, planning, and execution.
• Manages Stakeholder Experiences by generating rich stakeholder and sponsor assessments to manage expectations and advise on anticipated challenges in the delivery of IT services and capabilities.
• Enables Compelling Business Cases by aiding in developing business cases for new digital capability investments; identifying, defining, and measuring business outcomes for highest-value digital capabilities.
• Leverages Cross-Organizational Relationships by ensuring all IT functions are successful in their delivery of services across Drug Discovery Research functions.
• Bridges the Last Mile by partnering with engineering teams and contributing to solution development using low-code/no-code platforms, scripting (Python, SQL, or equivalent), or configuration-based tooling.
• Owns End-to-End Quality by defining testable acceptance criteria, supporting UAT, and validating that delivered solutions match intended business outcomes.
• Applies AI to Analysis Work by actively using BMS-approved GenAI tools (e.g., Microsoft Copilot, enterprise GenAI platforms) to accelerate requirements gathering, process documentation, user story generation, and stakeholder communication.
• Identifies AI Opportunity Areas by proactively evaluating Sample Management and Reagent Management workflows within Drug Discovery Research functions for AI-augmentation potential — including automation of repetitive tasks, intelligent document processing, and AI-assisted scientific data interpretation.
• Fluent in Responsible AI Principles by understanding and applying responsible AI frameworks, including data privacy, bias awareness, model transparency, and governance guardrails.
• Contributes to AI Strategy by partnering with IT Business Partners and Product Managers to shape the AI capability roadmap for Research IT, translating scientific needs into GenAI-enabled solution concepts.
• Champions AI Literacy by acting as an AI adoption advocate — mentoring teammates on the effective and responsible use of AI tools in day-to-day work.

Qualifications

• B.S., M.S., or Ph.D. in a relevant Life Sciences (Biology, Chemistry, Biochemistry, Bioinformatics) or Technical discipline (Computer Science, Information Technology, or equivalent).
• 5+ years of progressive IT experience, with responsibility for scientific application analysis, design, or support in a pharmaceutical, biotech, or life sciences environment.
• Direct hands-on experience with Sample Management and/or Reagent Management processes, systems, or workflows within a Drug Discovery Research environment.
• Demonstrated ability to elicit, document, and manage requirements (user stories, process maps, use cases).
• Proficiency in SQL and/or Python for data querying, analysis, or lightweight scripting.
• Strong collaboration, communication, and presentation skills.
• Track record of delivering high-value digital capability projects within timelines and budget.

Preferred Experience

• With scientific inventory and Reagent platforms.
• Exposure to Drug Discovery Research organizational functions and workflows.
• Experience with low-code/no-code platforms (e.g., Microsoft Power Platform, ServiceNow).
• Familiarity with GenAI tools in a professional or enterprise workflow.
• IIBA Certification or equivalent Business Analysis Certification.
• Experience overseeing Jr. Business Analysts or Consultants.