AI Business Analyst

Job Description & Summary

What You Will Do 

• Gather, analyze, clarify, and manage business requirements for business applications, automation initiatives, and AI-based solutions. 

• Identify, assess, and prioritize process improvement, automation, and AI opportunities. 

• Analyze current-state and future-state business processes using process maps, process diagrams, and other business analysis techniques. 

• Leverage AI tools and rapid prototyping approaches to validate ideas, demonstrate concepts, and support requirement discovery and solution shaping. 

• Prepare and maintain Solution Design Documents and ensure stakeholder review and sign-off. 

• Define and maintain business requirements, business rules, prompts, and Human-in-the-Loop requirements for AI solutions. 

• Work closely with developers and solution architects throughout the project lifecycle to clarify requirements and support implementation activities. 

• Define and align business acceptance criteria, success measures, and expected outcomes. 

• Coordinate User Acceptance Testing activities, collect feedback, and support requirement refinements. 

• Support compliance, governance, and Responsible AI activities by ensuring business requirements and stakeholder expectations are properly captured and communicated. 

• Support solution adoption, change management, user onboarding, and post go-live continuous improvement. 

• Contribute to best practices, templates, standards, and knowledge-sharing activities across the team. 

What We Are Looking For 

• 4+ years of experience in business analysis, process improvement, requirements management, automation projects, or related roles. 

• Experience gathering, documenting, and managing business and functional requirements. 

• Experience documenting business processes, solution requirements, process diagrams, use cases, and preparing Solution Design Documents. 

• Ability to create quick proof-of-concepts and prototypes using AI-powered and low-code tools to accelerate requirement discovery and solution design 

• Strong analytical and problem-solving skills. 

• Ability to assess business value, expected benefits, risks, and implementation considerations for proposed solutions. 

• Good understanding of Generative AI, intelligent automation, and modern digital technologies. 

• Understanding AI concepts such as AI agents, prompts, Human-in-the-Loop workflows, and Generative AI use cases. 

• Strong prompt engineering skills and ability to effectively interact with AI tools to improve analysis, documentation, requirements gathering, and solution discovery. 

• Strong understanding of AI-assisted productivity and business workflows, including the effective use of tools such as M365 Copilot, ChatGPT, and similar AI assistants. 

• Experience using AI tools to accelerate business analysis activities, process documentation, research, content creation, and stakeholder communication. 

• Experience working with structured and unstructured data, including data quality assessment, data cleansing, and analysis activities. 

• Ability to assess data sources, data quality, and information readiness for automation and AI use cases. 

• Ability to identify business processes and scenarios suitable for AI, automation, or traditional technology solutions and recommend the most appropriate approach. 

• Ability to translate business requirements into clear and actionable requirements for technical teams. 

• Experience coordinating User Acceptance Testing activities and business sign-off processes. 

• Understanding change management, user adoption, and stakeholder engagement practices. 

• Familiarity with Agile delivery methodologies and project delivery lifecycles. 

• Strong written and verbal communication skills. 

• Fluent spoken and written English. 

Nice To Have 

• Familiarity with Microsoft Foundry, Microsoft Copilot Studio, or other AI platforms. 

• Understanding of Generative AI concepts such as RAG, vector search, and knowledge grounding. 

• Experience working on AI or digital transformation projects. 

• Basic understanding of Azure services and cloud technologies. 

• Familiarity with Responsible AI principles and AI governance concepts. 

• Experience working in consulting or professional services environments. 

• Experience with process modelling tools such as Visio, Lucidchart, or similar solutions. 

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