Years of Experience : 3-6 years Key Responsibilities: Product Functional Analysis Analyze complex university workflows (Admissions, SIS, Curriculum, Accreditation, etc.) and define user requirements Create BRDs, FRDs, solution documents, user flows, and wireframes for product development Translate client problems into scalable, no-code/low-code functional solutions Participate in sprints, grooming sessions, and product roadmap discussions AI-Enhanced Solutioning Use AI tools (e.g., ChatGPT, Claude, Google Vertex AI, LangChain, GPT-based apps) to: Generate user stories, acceptance criteria, and documentation Brainstorm and evaluate AI use cases within the product lifecycle Support prototyping or feature testing with mock AI responses Stay updated on emerging AI frameworks, open-source tools, and no-code AI platforms Collaborate with AI engineering teams on data structuring, prompt design, and workflow automation ideas Stakeholder Collaboration Gather requirements from institutional users like Registrars, Deans, and IT teams Lead solution walkthroughs, CRP sessions, and UAT support with clients Translate cross-functional feedback into clear, prioritized specifications Documentation Quality Support Maintain structured documentation on Confluence, PMIS, or Creatrix tools Support QA teams in defining test cases and validation flows Assist in training, adoption material creation, and onboarding guides Key Requirements: Domain Experience 36 years of experience as a Business Analyst, preferably in EdTech or SaaS Familiarity with higher education systems (SIS, LMS, Accreditation, Student L-ifecycle) Strong understanding of modular SaaS architecture, workflows, and configurable systems AI Fluency (Non-Coding) Hands-on use of tools like ChatGPT, Midjourney, Prompt Engineering, or similar platforms Familiar with concepts like OCR, Recommendation Systems, Predictive Analytics, etc. Aware of AI frameworks (e.g., LangChain, LLMs, fine-tuning vs. prompting, etc.) Passionate about exploring AI for requirement writing, wireframing, testing, and knowledge management Technical Tooling Skills Tools: Jira, Confluence, Lucidchart/Miro, Creatrix PMIS, Excel, Notion Comfort reading/writing structured data (e.g., JSON, basic SQL) Ability to collaborate with engineers and speak the language of systems Soft Skills Excellent analytical, documentation, and communication skills Creative thinker with attention to detail and a strong product mindset Quick learner and strong collaborator across regional teams Nice to Have: Experience working in Agile/Scrum environments Exposure to no-code platforms or AI-Projects Any AI certifications (e.g., Prompt Engineering, AI Product Management)