The Senior Business Systems Analyst, AI Enablement serves as a strategic liaison between business stakeholders, digital teams, data scientists, AI engineering teams, and technology delivery organizations to enable successful adoption of AI automation, reporting, analytics, generative AI, agentic AI, and emerging AI capabilities in BTS, Development Sciences. 

This role combines strong business systems analysis, consulting, and relationship management skills with practical knowledge of AI technologies, including generative AI, large language models (LLMs), machine learning concepts, AI governance, and responsible AI practices. 

The position is not responsible for building, coding, training, or deploying AI models. Instead, the incumbent translates business needs into AI-enabled solutions, facilitates requirements gathering, supports AI use-case evaluation and prioritization, ensures alignment to business objectives, and helps guide projects from concept through implementation and adoption. 

The Senior Business Systems Analyst acts as a trusted advisor to business partners, helping identify opportunities where AI can accelerate cross-functional execution for report automation supporting dossier submissions (e.g. INDs, BLAs) across modalities while ensuring compliance with corporate policies, governance requirements, and responsible AI standards. Partners closely with Development Sciences dossier management, Regulatory Affairs, and IT to understand and deliver reporting needs, identify opportunities for automation, and define scalable business and systems strategies that improve efficiency, quality, and consistency of submission-related reporting. 

Responsibilities 

Business Relationship Management 

• Partner closely with Development Sciences business stakeholders, dossier management, Regulatory Affairs, and IT to understand strategic objectives, operational needs, pain points, and opportunities for AI-enabled process improvement. 
• Build and maintain trusted relationships across business, data, technology, and digital teams. 
• Serve as a primary point of contact for AI-related business discussions within assigned functional areas. 
• Support creation of value assessments, business cases, and prioritization recommendations. 
• Perform additional responsibilities as assigned to support the broader Development Sciences team and organizational objectives. 

Requirements Management 

• Elicit, analyze, document, and manage business, functional, and non-functional requirements. 
• Translate business needs into actionable user stories, process flows, business requirements documents, and acceptance criteria. 
• Facilitate alignment between business stakeholders and AI engineering teams. 
• Ensure requirements are complete, clear, and suitable for delivery teams. 

AI Program and Project Support 

• Support AI initiatives throughout the software development lifecycle. 
• Participate in project planning, backlog refinement, release planning, testing activities, and adoption planning. 
• Coordinate with technical teams to ensure delivery and capabilities meet business expectations. 
• Assist with issue management, risk identification, change management, and stakeholder communications. 
• Collaborate with AI engineering and product teams to assess solution feasibility, business value, risks, and implementation considerations. 
• Ensure AI solutions align with applicable policies, procedures, privacy requirements, and quality standards. 
• Support development of adoption strategies, communications, training materials, and user enablement activities.