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Consultant

Open 26d

Summary

Business analyst at KPMG India who gathers and refines AI-driven audit requirements, translates them into user stories, and collaborates with engineers to deliver compliant solutions.

Business Analyst

Key Responsibilities

• Engage with audit professionals, data scientists, and product managers to elicit, document, and refine solution requirements.

• Translate complex business use cases into structured feature requests, user stories, and success criteria for teams.

• Support discovery and feasibility assessment of technology-enhanced (particularly AI-driven) opportunities in audit processes, identifying relevant data sources and success metrics.

• Collaborate with engineers to ensure solution design aligns with audit goals, operational realities, and compliance standards.

• Facilitate user testing, training, and feedback loops to support model evaluation and continuous improvement.

• Monitor adoption, performance, and value of solutions through dashboards and stakeholder engagement.

• Contribute to the responsible AI governance process by ensuring business understanding of explainability, risk, and fairness.

Other responsibilities will typically include supervising teams; coaching and development in technical, risk & compliance management, operational and quality management; project management including budgeting and planning; delivery of quality reports; and some performance management responsibilities.

Experience & Knowledge requirements:

Experience as a business analyst or product analyst, with experience in AI, machine learning, or advanced analytics projects.

• Understanding of machine learning lifecycle and ability to communicate model requirements and outputs in business terms.

• Strong documentation, communication, and stakeholder engagement skills.

• Familiarity with audit, risk, or professional services environments is a plus.

• Experience with Agile methodologies and product development lifecycle.

Bachelor’s or Master’s degree in Business, AI/ML, Analytics, Data Science, or a related field; Business Analysis certifications (such as IIBA) strongly preferred.

A professional accountancy qualification from a recognised accountancy body is desirable but is not essential.

See also

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