Senior Specialist, Business Analyst Global operations (IT)

Position Summary

As a Senior Specialist in the Cross Study Operations and Specimen Management (CSO & SM) Product Line within Global Development Operations Business Insights & Technology (GDO BI&T), you will reimagine how AI enabled technology solutions will streamline study design and orchestration. This role sits at the front end of the clinical trial lifecycle, where protocol concepts become executable plans. You'll embed with the teams doing that work, uncover the friction, and use AI tools to rapidly prototype working solutions. This is a hands-on role. You'll partner with Product Managers to take the strongest prototypes from concept through production and lifecycle support, working alongside clinical scientists, global development operations, clinical design and delivery center, and R&D BI&T teams.

Key Responsibilities

• Serve as the technical business analyst on study design and orchestration initiatives within the CSO & SM Product Line, owning the path from problem identification through delivery
• Embed with study design, clinical operations, and trial planning stakeholders to surface pain points — then make the case for which are worth building
• Partner with Product Managers and business stakeholders to solve these problems with an AI-first approach, evaluating where AI genuinely outperforms conventional solutions and where it doesn't
• Rapidly prototype solutions using AI tools (e.g., Claude, Claude Code, Copilot) to deliver working artifacts in front of users early — sharpening requirements through demonstration rather than debate
• Design, test, and refine prompts, agents, and automations that become durable parts of the product, including the guardrails and human checkpoints that make them trustworthy in a regulated setting
• Create IT documentation artifacts in support of agile technology implementations, including but not limited to requirements specifications, process diagrams, user acceptance test plans, traceability matrices, wireframes, training documents, and change management artifacts
• Leverage AI to configure, test, and validate applications alongside the engineering team, and coordinate and execute user acceptance testing, validate requirements, and maintain traceability
• Participate in retrospectives, gather user feedback, and propose improvements to business capabilities

Qualifications & Experience

• Bachelor's degree in Computer Science, Computer Engineering, Life Sciences, or a related discipline
• 3+ years of experience as a technical business analyst, preferably in pharmaceutical, clinical research, or healthcare settings
• Experience delivering prototypes with AI tools (e.g., Claude, Claude Code, Copilot), Python, SQL, Jupyter, Figma, or similar tools for scripting, automation, and analytics
• Proficient in clear and concise requirements documentation, process modeling (e.g., BPMN, Visio, Lucidchart), and drafting user acceptance criteria
• Experience using business analysis tools (Figma, JIRA, Confluence, MS Office, or comparable platforms)
• Detail-oriented, organized, and able to manage multiple priorities in a fast-paced environment