Senior IT Business Analyst

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The Senior IT Business Analyst (Sr. IT BA) – Research Sample & Reagent Management is accountable for the effective delivery of IT capabilities and services supporting BMS Research, with a focused scope on Sample Management and Reagent Management within the broader Drug Discovery Research functions.

This individual will partner with IT colleagues and scientific researchers to identify, define, and drive digital capabilities to meet specific strategic and operational needs — including cross-functional initiatives enabling the broader Research and IT organizations.

This role goes beyond traditional business analysis. The ideal candidate bridges the gap between business analysis and hands-on development — capable of not only defining requirements but also building, prototyping, and validating digital solutions. Additionally, this individual will bring applied AI and Generative AI fluency to accelerate discovery, automate workflows, and shape next-generation capability design.

The Sr. IT BA will be a member of a cross-functional Technology team who flexibly analyzes digital capabilities aligned directly to business functions, collaborating with IT Business Partners, Product Managers, Digital Capability Managers, Domain-focused Scientific Researchers, and other Enabling partners. This individual will also be expected to oversee Jr. IT Business Analysts and Consultants on the delivery of technical capabilities.

The Sr. IT BA's contributions will shape BMS's ability to discover, develop, and deliver innovative medicines that help patients prevail over serious diseases.

Key Responsibilities

Research Domain & Scientific Engagement

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

Core Business Analysis

Partners with IT Peers: Provides insightful and actionable analysis in support of the portfolio of digital capability investments across Research IT

Shapes Business Demands: Elicits business needs with creative empathy, maps complex processes, discovers root causes, curates requirements and user stories, and maintains a spotlight on business value opportunities in support of investment justification, planning, and execution

Manages Stakeholder Experiences: Generates rich stakeholder and sponsor assessments to manage expectations and advise on anticipated challenges in the delivery of IT services and capabilities

Constructively Advocates for Value: Represents the "voice of the customer," connects business stakeholders with broader IT services, and ensures delivery teams make the right trade-offs between speed, quality, and cost

Enables Compelling Business Cases: Aids in developing business cases for new digital capability investments; identifies, defines, and measures business outcomes for highest-value digital capabilities

Leverages Cross-Organizational Relationships: Ensures all IT functions are successful in their delivery of services across Drug Discovery Research functions

Brings an External View: Actively maintains awareness of industry drivers, emerging lab informatics trends, and relevant technology advancements; brings innovative ideas to the organization

Communicates Effectively: Organizes and presents complex ideas in a simple, convincing, and compelling manner with both technical and non-technical audiences; influences change management strategies in support of capability establishment

Shows Good Judgment: Communicates successes and issues accurately, urgently, and to the right audience; takes accountability for managing expectations with IT peers and business stakeholders

Boldly Acts with Urgency: Shows courage, tenacity, and respect to provoke uncomfortable conversations in order to remove roadblocks to value delivery

Expresses a Growth Mindset: Demonstrates a passion for skillset development within Business Analysis, Business Relationship Management, and the pharmaceutical scientific domain

Advances the BA Practice: Brings mature, impactful, and sustainable business analysis behaviors that drive change and deliver value

Development & Prototyping Capability

Builds to Validate: Actively prototypes, configures, and develops thin-slice solutions (scripts, workflows, UI mock-ups) to validate requirements and accelerate delivery cycles

Bridges the Last Mile: Partners with engineering teams and contributes to solution development using low-code/no-code platforms, scripting ( Python, SQL , or equivalent), or configuration-based tooling

Reduces Handoff Loss: Leverages development fluency to reduce misinterpretation between business and technical teams — translating intent into working artifacts, not just written specifications

Accelerates POCs: Leads rapid Proof of Concept efforts to demonstrate feasibility, surface technical risk early, and validate business hypotheses within compressed sprint cycles

Owns End-to-End Quality: Defines testable acceptance criteria, supports UAT, and validates that delivered solutions match intended business outcomes

AI & Generative AI Capabilities

Applies AI to Analysis Work: Actively uses 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: Proactively evaluates 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: Understands and applies responsible AI frameworks, including data privacy, bias awareness, model transparency, and governance guardrails

Contributes to AI Strategy: Partners 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: Acts as an AI adoption advocate — mentoring teammates on the effective and responsible use of AI tools in day-to-day work

Qualifications

Required

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 env