Business Analyst

As an Information Management and Governance Business Analyst, your role will be pivotal in the data transformation journey of the company. You will focus on unstructured content and ensure its readiness for AI by implementing robust classification, metadata quality, and governed processes. Your collaboration with business, technical, and data governance teams will be crucial in identifying, cataloguing, and governing critical information to enhance its quality, accessibility, and innovation readiness. **Key Responsibilities:** - Plan and conduct workshops and interviews with business, technical, and data governance stakeholders for requirements gathering. - Elicit, document, and prioritize requirements using frameworks like MoSCoW or RICE for identifying, curating, and enriching critical information. - Develop epics, user stories, and acceptance criteria to support the information management and governance processes. **Qualifications Required:** - Demonstrated experience in information or data management, cataloguing, metadata, and taxonomy development, and unstructured content management. - Proven capability in business process analysis, workshop facilitation, and stakeholder engagement across business, IT, and governance teams. - Strong track record of supporting digital transformation and information management initiatives within large complex corporate environments. - Hands-on experience with information governance and catalog or classification platforms such as Microsoft Purview, Collibra, Alation, OpenText, SharePoint, Teams, OneDrive, Box, or Google Workspace. - Strong documentation skills including business and functional requirements documents, user requirement specifications, agile user stories in tools like Jira or Azure DevOps, and support for testing and user acceptance. - Strong communication, influencing, and change management skills with the ability to translate between business and technical audiences. - Basic knowledge of SQL or Python for profiling and quality sampling, along with experience in search or retrieval patterns for AI. - Experience in industries such as life sciences, financial services, or the public sector, and familiarity with GxP regulations for pharmaceutical contexts. - Relevant certifications such as CDMP, IGP, CIP, Agile BA, CBAP, Prosci, Change Management, PRINCE2, or Scrum are a plus.,