Business Analyst - AI

Overview

Deloitte is looking for a Business Analyst - AI to join its Enabling Area / AI team in Mumbai. The role is centered on turning data and AI opportunities into practical business outcomes using modern analytics and GenAI capabilities such as retrieval-augmented generation and large language model integrations. It is a chance to work with senior teams, contribute to impactful solutions, and help shape the future of AI-enabled delivery.

What you'll do

• Conduct stakeholder discussions, workshops, and process walkthroughs to capture and document functional and non-functional needs in formats such as BRDs, user stories, and acceptance criteria.
• Analyze business gaps, assess feasibility, and connect business objectives to product capabilities through traceability.
• Contribute to the vision and roadmap for AI-driven features and help prioritize the backlog based on value, feasibility, and delivery risk.
• Facilitate Agile ceremonies including refinement sessions, sprint planning, and reviews, while keeping release plans and OKRs well maintained.
• Convert business use cases into GenAI/LLM solutions, including RAG approaches, prompt design, and evaluation criteria, working closely with data science and ML engineers.
• Partner with platform teams to manage data readiness, model monitoring, and governance considerations such as security, privacy, and cost/performance.
• Present increments to stakeholders, validate requirements, coordinate UAT with business users, and support adoption through playbooks, guides, and training material.
• Share progress, risks, and mitigation plans with leadership and support post-launch review and ongoing improvement.
• Maintain key project artefacts such as journey maps, process flows, personas, wireframes, and QA/test plans with QA leads.

Requirements

• Bachelor’s degree in Engineering, Technology, or Business; an MBA is considered an added advantage.
• About 3 to 5 years of experience in product or business analysis roles.
• Strong experience in requirements gathering, backlog ownership, and Agile delivery in enterprise environments.
• Comfort using tools such as Jira, Azure DevOps, and Confluence, along with Microsoft Office for analysis and communication.
• Working understanding of AI concepts, including LLMs, GenAI, RAG patterns, evaluation methods, guardrails, and data governance.
• Ability to work across Data Science, Engineering, and UX teams with strong stakeholder communication skills.
• Preferred exposure to prompt design, GenAI evaluation, vector databases, or model lifecycle activities such as training, deployment, and monitoring.
• Exposure to cloud platforms such as AWS, Azure, or GCP and modern data or ML tooling is an advantage.

Additional information

Working model: Hybrid, with flexibility to work from the office or client sites for workshops, demos, and UAT as needed.

Success metrics

• Speed of requirement finalization from intake to signed-off user stories.
• Backlog quality and sprint goal achievement.
• Adoption and satisfaction for delivered features.
• Model performance and cost efficiency for AI features.
• Low defect leakage and strong UAT pass rates.

About Deloitte

Deloitte emphasizes purposeful collaboration, innovation, growth, and inclusive teamwork. The organization encourages people to bring their whole selves to work, supports career ownership, and values flexibility, accessibility, safety, security, and caregiving needs. It also promotes leadership at every level and offers opportunities for learning, mobility, and upskilling.

Interview guidance

Applicants are advised to research the organization and the business area before interviews so they can be prepared and confident.