Are you a Business Analyst or Product Owner looking to work at the intersection of business strategy, artificial intelligence, and product delivery? Deloitte is seeking professionals with 3–5 years of experience in Product or Business Analysis roles for an AI-focused opportunity in India with a hybrid working model.
🏢 About the Company: Deloitte
Deloitte is a global professional services organization providing consulting, technology, risk advisory, audit, tax, and related services. Its teams help businesses address operational challenges, modernize technology, improve decision-making, and adopt digital solutions.
📋 Job Overview: Deloitte AI Business Analyst / Product Owner
- 🏢 Company: Deloitte
- 💼 Role: AI Business Analyst / Product Owner
- 🎯 Experience: 3–5 years in Business Analysis or Product roles
- 📍 Location: India
- 🏠 Work Model: Hybrid
- 🤖 Core Domain: Generative AI, LLMs, and AI-enabled business solutions
- 📋 Business Skills: Requirements gathering, gap analysis, backlog prioritisation, and UAT management
- 🛠️ Tools: Jira, Azure DevOps (ADO), Confluence, and MS Office
- 🧠 AI Concepts: RAG, prompt engineering, evaluation criteria, guardrails, and data governance
- 🎓 Education: Bachelor’s degree in Engineering, Technology, or Business; an MBA is an advantage
🌟 Why Is This Role Good for Experienced Candidates?
- 🚀 AI product exposure: Translate business problems into practical GenAI use cases in collaboration with technical teams.
- 🧩 Product ownership: Help shape roadmaps, prioritise backlogs, and balance business value, feasibility, and risk.
- 🤝 Stakeholder leadership: Conduct workshops, clarify requirements, and communicate delivery progress to business and technology stakeholders.
- 📊 Measurable business impact: Work with KPIs such as adoption, sprint goal attainment, UAT pass rates, and defect escape rates.
- 🧠 Emerging technology skills: Develop practical understanding of LLM integrations, RAG workflows, AI evaluation, and model governance.
🛠️ Skills Required for This Position
- 📋 Business Analysis: Requirement elicitation, BRDs, user stories, acceptance criteria, process mapping, and traceability.
- 🎯 Product Management: Product vision, roadmap planning, backlog prioritisation, release planning, and OKRs.
- 🔄 Agile/Scrum: Sprint planning, backlog refinement, sprint reviews, retrospectives, and cross-functional delivery.
- 🤖 Generative AI Literacy: Understanding LLMs, prompt design, RAG architecture, retrieval quality, and evaluation methods.
- 🛡️ AI Governance: Awareness of privacy, security, responsible AI, model monitoring, and cost-performance trade-offs.
- 🧪 UAT and Quality: Test planning, acceptance criteria validation, defect tracking, business sign-off, and adoption support.
- 🛠️ Tools: Jira or ADO, Confluence, spreadsheets, presentations, and documentation tools.
🎯 Expected Interview Rounds at Deloitte
- 📝 Round 1: Recruiter / HR Screening
- 📋 Round 2: Business Analysis and Product Case Study
- 🤖 Round 3: GenAI Concepts and Technical Stakeholder Discussion
- 🤝 Round 4: Managerial / Leadership Discussion
The actual process may vary depending on the hiring team, project, and candidate background.
📚 Preparation Tips for This Specific Role
- 🧩 Practise a requirements case study: Take a business problem and create user stories, acceptance criteria, dependencies, and measurable outcomes.
- 🤖 Explain RAG clearly: Understand how retrieval, document chunking, embeddings, vector search, and LLM generation work together. Be ready to discuss limitations such as irrelevant retrieval and hallucinations.
- 🎯 Prepare a prioritisation example: Explain how you would rank features using customer value, feasibility, delivery effort, risk, and business urgency.
- 🧪 Build an AI UAT scenario: Define acceptance criteria for an AI assistant, including answer relevance, groundedness, privacy, failure handling, and user feedback.
- 📊 Understand success metrics: Practise explaining backlog health, requirement lead time, adoption, UAT pass rates, model performance, and inference costs.
- 🛡️ Prepare governance examples: Discuss sensitive data, access controls, human oversight, and escalation of unsafe or unreliable AI outputs.
- 🗣️ Use STAR examples: Structure stories about stakeholder conflicts, changing requirements, delivery risks, and successful collaboration.
📝 Resume Tips for Applicants
Customise your resume to highlight business analysis, product ownership, and Agile delivery. Include examples of requirements workshops, BRDs, user stories, acceptance criteria, backlog management, UAT coordination, and stakeholder communication.
For AI-related work, describe the use case, your contribution, the evaluation approach, and the business outcome. Mention RAG, prompt engineering, vector databases, cloud platforms, or model lifecycle activities only if you have genuine exposure. Where possible, quantify improvements in delivery time, adoption, defect reduction, or UAT success. Keep achievements accurate and be prepared to explain your role in each project.
💰 Expected Salary Range
The supplied job description does not disclose an official salary band. As a broad, indicative estimate only, professionals with 3–5 years of relevant experience in India may see compensation around ₹10–22 LPA, depending on skills, location, project scope, and prior experience. This is not a confirmed Deloitte salary range; verify compensation with the recruiter.
📩 How to Apply
👉 Application Link: Click Here
The supplied announcement does not include a direct application URL or recruiter email. Interested candidates should locate the relevant Deloitte AI Business Analyst / Product Owner vacancy through Deloitte’s official careers channel or an authorized recruiter. Confirm the requisition details, hybrid work expectations, and required experience before submitting your resume.
🌟 Final Thoughts
This opportunity may appeal to Business Analysts and Product Owners who want to combine stakeholder-driven delivery with emerging AI capabilities. Candidates who can translate business problems into clear requirements, prioritise product work, and discuss GenAI concepts responsibly should prepare practical examples that demonstrate both business judgement and technical awareness.
