Job Description
🏢 Company KPMG Global Services
💼 Role Business Analyst
📍 Location Bangalore, India
⏳ Experience Relevant Experience
🔖 Job Type Full-time
Description
KPMG Global Services is hiring a Consultant – Business Analyst in Bangalore for a role focused on the intersection of business analysis, artificial intelligence, machine learning, advanced analytics, and audit technology. The selected professional will work closely with audit professionals, data scientists, product managers, and technology teams to understand business challenges and translate them into practical technology requirements. The role involves gathering and refining requirements, creating structured feature requests and user stories, defining success criteria, and helping teams understand how AI-driven solutions can improve audit processes. Candidates will also support the discovery and feasibility assessment of technology opportunities by identifying relevant data sources, evaluating potential use cases, and establishing measurable outcomes. This makes the position particularly relevant for professionals interested in Business Analyst jobs, AI Business Analyst roles, product analysis, data analytics, and technology consulting.
The Consultant will play an important role in connecting business objectives with technical implementation. Working with engineers and product teams, the professional will help ensure that proposed solutions align with audit requirements, operational realities, regulatory expectations, and compliance standards. The position also includes supporting user testing, training, feedback collection, model evaluation, and continuous improvement of AI-enabled solutions. Once solutions are implemented, the Business Analyst will monitor adoption, performance, and business value through dashboards and stakeholder engagement. An important aspect of the role is responsible AI, requiring an understanding of concepts such as explainability, model risk, fairness, governance, and responsible use of artificial intelligence. Professionals with experience across the machine learning lifecycle will be able to translate technical model requirements and outputs into language that business stakeholders can understand and act upon.
This opportunity is well suited to professionals who want to combine business analysis, AI/ML, advanced analytics, product development, and professional services in a consulting environment. Beyond core Business Analyst responsibilities, the Consultant may contribute to project planning, budgeting, quality reporting, team supervision, coaching, and operational or risk management activities. Familiarity with audit, risk, compliance, or professional services environments is an advantage because the role requires an appreciation of how technology solutions operate within controlled and regulated business processes. The position is based in Bangalore, Karnataka, with the role classified as a full-time Consultant opportunity. KPMG Global Services provides an environment where professionals can work with multidisciplinary teams and contribute to technology-enabled transformation initiatives, making this role particularly attractive for candidates seeking AI consulting, business analysis, product analytics, and AI transformation careers.
Roles & Responsibilities
- Gather Business Requirements: Engage with audit professionals, data scientists, product managers, and other stakeholders to understand business problems, capture requirements, clarify expectations, and convert discussions into actionable solution requirements.
- Create User Stories: Translate complex business use cases into structured feature requests, user stories, acceptance criteria, and measurable success indicators that development and product teams can use throughout the delivery lifecycle.
- Identify AI Opportunities: Support discovery exercises to identify processes within audit and professional services where AI, machine learning, or advanced analytics can improve efficiency, decision-making, quality, or user experience.
- Assess Solution Feasibility: Evaluate potential AI-driven use cases by understanding available data sources, business constraints, technical feasibility, expected benefits, risks, and the metrics required to determine whether a solution is successful.
- Collaborate With Engineers: Work closely with technical teams to ensure that solution designs reflect business objectives, audit requirements, operational realities, compliance expectations, and stakeholder needs.
- Support User Testing: Coordinate user testing activities, gather feedback from stakeholders, document observations, and help teams evaluate whether AI or analytics solutions meet the intended business requirements.
- Monitor Solution Performance: Track adoption, usage, performance, and business value using dashboards, metrics, and stakeholder feedback to identify areas where implemented solutions can be improved.
- Support AI Governance: Contribute to responsible AI processes by helping stakeholders understand areas such as explainability, fairness, model risk, governance, compliance, and responsible technology adoption.
- Manage Stakeholder Communication: Communicate requirements, project progress, risks, dependencies, issues, and solution outcomes clearly to technical and non-technical stakeholders across different teams.
- Support Agile Delivery: Participate in Agile ceremonies and product development activities, helping teams prioritize requirements, refine backlogs, validate delivered features, and maintain alignment between business and technology objectives.
- Contribute to Project Management: Support planning, budgeting, scheduling, quality reporting, operational management, and other project activities while maintaining focus on delivery quality and stakeholder expectations.
- Coach & Develop Teams: Depending on project requirements, contribute to team supervision, knowledge sharing, coaching, technical development, risk and compliance awareness, and continuous improvement initiatives.
Requirements & Eligibility
- Educational Qualification: Candidates should hold a Bachelor's or Master's degree in Business, Artificial Intelligence, Machine Learning, Analytics, Data Science, or a related discipline. A relevant technical or business education can provide a strong foundation for the role.
- Business Analysis Experience: Prior experience working as a Business Analyst, Product Analyst, or in a comparable requirements and product-focused role is expected, preferably involving technology-enabled transformation projects.
- AI & Machine Learning Exposure: Candidates should have practical exposure to AI, machine learning, advanced analytics, or AI-driven projects and understand how these technologies can be applied to real-world business problems.
- Machine Learning Lifecycle: A good understanding of the machine learning lifecycle is important, including problem definition, data preparation, model development, evaluation, deployment, monitoring, and continuous improvement.
- Requirements Documentation: Strong ability to create business requirements, user stories, feature specifications, acceptance criteria, process documentation, and success metrics in a structured and easy-to-understand manner.
- Stakeholder Management: Candidates should be comfortable working with business users, product managers, data scientists, engineers, and senior stakeholders while managing different expectations and communicating technical concepts in business language.
- Agile & Product Development: Familiarity with Agile methodologies, Scrum practices, product development lifecycles, backlog management, user story refinement, and iterative delivery is strongly beneficial.
- Responsible AI Knowledge: Understanding of AI governance concepts such as explainability, fairness, model risk, responsible AI, compliance, and ethical technology adoption will be valuable for the position.
- Professional Services Exposure: Experience or familiarity with audit, risk, compliance, consulting, professional services, or regulated business environments is an advantage, although it is not mandatory.
- Professional Certification: Business Analysis certifications such as IIBA or equivalent professional credentials are strongly preferred. A recognized professional accountancy qualification can also be beneficial but is not essential.
Expected Salary
For a Consultant / Business Analyst position at KPMG Global Services in Bangalore, a realistic salary expectation is approximately ₹9 lakh–₹15 lakh per annum, depending on prior experience, AI/ML exposure, consulting skills, and the level of stakeholder responsibility involved. Current Glassdoor data for KPMG shows Consultant compensation broadly around ₹13 lakh–₹20 lakh per year, while KPMG Assurance and Consulting Services reports Consultant salaries around ₹10 lakh–₹16 lakh annually; Bangalore Business Analyst market data places the median around ₹11 lakh per year, supporting a competitive range for this AI-focused consulting position.
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