- Identify and analyze business processes, inefficiencies, and automation opportunities optimized by Machine Learning, NLP, Computer Vision, RAG, and LLMs.
- Collaborate with stakeholders to gather, document, and refine business requirements for AI and automation initiatives.
- Create and maintain technical and functional documentation using AI-assisted frameworks and tools.
- Write detailed user stories, acceptance criteria, Jira tasks, and Confluence documentation aligned with Agile delivery practices.
- Participate in backlog refinements, sprint planning sessions, and cross-functional workshops.
- Translate business goals into clear technical requirements and measurable success metrics.
- Use Generative AI and copilot tools to accelerate the creation of BRDs, workflows, technical summaries, and internal knowledge bases.
- Validate AI-generated outputs, ensuring accuracy, consistency, and business relevance.
- Act as the communication bridge between business teams, developers, data scientists, compliance/legal stakeholders, and leadership.
- Support change management initiatives, user onboarding, training documentation, and AI adoption across teams.
AgileBusiness AnalysisMachine Learning+6 more