Job Description

Senior Business Analyst - GenAI & Agentic AI


Location: Mumbai


Role Overview


We are seeking a highly experienced Senior Business Analyst (BA) with a strong background in Finance, Digital, and Customer Operations to lead the business analysis, solution design, and implementation of Generative AI and Agentic AI solutions. The ideal candidate will bridge business needs and AI capabilities--defining requirements, designing workflows, and shaping AI-driven automation strategies that deliver measurable business impact.


You will collaborate closely with business stakeholders, data scientists, AI engineers, and RPA/Agentic developers to translate business problems into intelligent, automated, and context-aware digital solutions.


Key Responsibilities


1. Business Analysis & Requirement Definition


Engage with business stakeholders to identify and prioritize AI-driven automation opportunities.


Gather, document, and validate business requirements, user journeys, and process pain points across Finance, Digital, and Customer Operations domains.


Define functional and non-functional requirements for GenAI, LLM-based, and Agentic AI use cases.


Create use case blueprints including context, objectives, actors, sample prompts, data sources, expected outcomes, and performance metrics.


2. Solution Design & AI Enablement


Work with AI/Agent engineers to design Agentic AI architectures, multi-agent workflows, and prompt engineering strategies.


Define AI decision flows, orchestration logic, and knowledge sources (documents, APIs, CRM, ERP, databases, etc.).


Support data readiness and context preparation (structured/unstructured data, embeddings, vector stores).


Map legacy or manual workflows to GenAI-powered experiences (chatbots, copilots, process advisors, autonomous agents).


Design and review mock-ups, low-fidelity prototypes, and process simulations.


3. Cross-functional Collaboration


Partner with technology, operations, and data teams to align business outcomes with AI implementation feasibility.


Collaborate with UX teams to ensure AI-driven experiences are intuitive and aligned with business processes.


Coordinate with project managers to ensure delivery milestones, scope, and success metrics are achieved.


4. Domain Expertise & Value Realization


Apply deep domain knowledge in:


Finance: Order-to-Cash, Record-to-Report, FP&A, Procurement


Digital Operations: Campaign management, content generation, analytics automation


Customer Operations: Support process optimization, knowledge automation, customer experience improvement


Translate domain challenges into GenAI-enabled insights and decision-support workflows.


Track and measure business value realized from AI and automation initiatives.


5. Governance, Documentation & Change Management


Maintain AI use case repository, requirement traceability, and change logs.


Contribute to AI governance frameworks, ensuring transparency, explainability, and compliance.


Conduct user training, stakeholder demos, and feedback sessions for continuous improvement.


Required Skills & Experience


Technical & Functional


10-12 years of experience as a Business Analyst, with at least 3-4 years in AI/Automation/Intelligent Process Transformation projects.


Strong understanding of Generative AI, Large Language Models (LLMs), Agentic AI frameworks, and RPA.


Hands-on experience in defining AI use cases, prompt frameworks, conversational flows, and agent behaviors.


Knowledge of APIs, data pipelines, and knowledge graph concepts for AI enablement.


Experience working with Autogen, UiPath, Microsoft Copilot Studio, OpenAI, Anthropic, LangChain, or similar platforms.


Familiarity with process modeling (BPMN/UML) and tools such as Visio, Lucidchart, or ARIS.


Exposure to cloud-based AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI).


Business & Analytical


Proven expertise in Finance, Digital, or Customer Operations processes.


Strong analytical, problem-solving, and data interpretation skills.


Ability to map business KPIs to AI/automation success metrics.


Excellent communication and stakeholder management across business and IT.


Experience in developing business cases, ROI models, and value realization reports.


Preferred Qualifications


MBA or equivalent degree in Business, Technology, or Operations Management.


Certifications: CBAP, PMP, UiPath Business Analyst, AI/ML Foundations, or GenAI certifications.


Exposure to Agentic platforms such as n8n, Cogniflow, or AutoGPT-based architectures.


Experience in Agile or Hybrid project delivery methodologies.


Key Attributes


Strategic thinker with a passion for innovation through AI.


Self-starter with strong ownership and outcome orientation.


Excellent interpersonal skills with the ability to engage both executives and technical teams.


Curiosity-driven mindset with a focus on continuous learning in AI trends and technologies.


Example Project Exposure (Preferred)


GenAI-powered knowledge assistants or copilots.


Agentic AI process automation (multi-agent workflows).


Finance process intelligence or document automation.


Customer support chatbot or decision assistant.


AI-driven insights for operations and analytics.