Senior Business Systems Analyst, AI Enablement

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.
Required:
Bachelor’s Degree in Information Systems, Computer Science, Life Sciences, or related discipline plus 5 years’ experience; Or Master’s Degree plus 4 years’ experience.
Respective years of experience in business systems analysis, business systems consulting, product ownership, project delivery, technology consulting, or related disciplines.
Experience gathering and documenting business and functional requirements.
Experience facilitating stakeholder discussions and translating business needs into technology solutions.
Experience partnering with GxP or regulated environments.
Experience partnering with AI engineers, product managers, and digital teams.
Experience supporting enterprise software delivery initiatives.
Strong analytical, communication, and relationship management skills.
Understanding software development lifecycle methodologies, Agile practices, and modern product delivery approaches.
AI Knowledge Requirements - the successful candidate is not expected to be a machine learning engineer, software engineer, or data scientist, but must demonstrate practical understanding of:
Generative AI concepts and enterprise use cases.
Large Language Models (LLMs), Prompt engineering concepts, Retrieval-Augmented Generation (RAG), AI copilots and agentic AI concepts, Machine learning fundamentals.
AI governance and responsible AI practices.
Data quality, privacy, and security considerations.
AI implementation risks and limitations.
Must be capable of discussing AI capabilities with technical teams and translating those capabilities into business value for stakeholders.
Preferred:
Experience supporting AI, analytics, digital transformation, or automation initiatives.
Pharmaceutical, biotechnology, healthcare, manufacturing, or regulated industry experience.
Familiarity with cloud-based AI platforms and enterprise AI services.
Experience supporting change management and technology adoption activities.

Employment type
Full-time

Work arrangement
Hybrid