Senior Business Analyst - AI & Operations
Accenture India Private LimitedJob Description
SW Business Analysis Senior Analyst
Skill required: Tech for Operations - Business Requirements AnalysisDesignation: SW Business Analysis Senior Analyst
Qualifications:Any Graduation
Years of Experience:5 to 7 years
Language - Ability:English(International) - Intermediate
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? • Experienced Business Analyst with Supply Chain, Procurement, Finance and Accounting, Financial Services domain knowledge. • Understand and document business goals and desired processes for To-Be functionality. • Understand existing application functionality, including business process context and business goals. • Drive the adoption and integration of Generative AI (GenAI) and Agentic AI solutions in business processes. • Act as a bridge between business stakeholders and AI/ML engineering teams to translate business needs into AI-enabled solutions. • Lead or support the design, configuration, and testing of AI agents and GenAI platforms for business use cases. • Create user scenario documents, facilitate sponsor/Product Owner review and approval of new Product implementation/enhancement.
What are we looking for? • Support development and test team in understanding requirements, scenarios and ‘Done Criteria.’ • Review Test Conditions to ensure alignment with scenarios and business requirements. • Assist with product demonstrations to Product owner and stakeholders (especially configuring scenarios to demo) • Maintain functional documentation of the application, updating as new features and functions. • Assist wherever feasible to help ensure smooth progress in developing an optimal solution for stakeholder needs, by facilitating communication and shared. Experience - (Preferred years of experience/skill proficiency) - 5-7 years’ experience in consulting, business operations, or industry specific process and technology transformation programs Educational Requirements - Bachelor’s/master’s degree • Hands-on experience or strong understanding of GenAI, LLMs, and Agentic AI concepts. • Familiarity with prompt engineering and AI agent orchestration. • Experience with AI/ML platforms (e.g., Copilot, ServiceNow AI modules). • Ability to translate business requirements into AI-enabled workflows and solutions. • Clients facing experience with a level of confidence. • Experience in Insurance, Finance industry • Experience in documenting end user requirements, developing product roadmaps, and managing teams
Roles and Responsibilities: •• Act as an SME/Business Consultant for the AI enabled Cloud based assets. • Conduct requirements gathering with a focus on identifying opportunities for GenAI/Agentic AI automation. • Prepare and review functional design documents that include AI-driven features, prompt engineering, and agent orchestration. • Prepare and distribute effective documentation for end users which gave accurate procedural information to them. • Collaborate with data scientists and AI engineers to ensure business requirements are met by AI models and agents. • Lead or participate in POCs and pilots for GenAI/Agentic AI solutions. • Organize and deliver training sessions on GenAI/Agentic AI capabilities for end users and stakeholders. • Ensure compliance with Responsible AI principles and data governance in all AI-related initiatives. • Continuously monitor AI solution performance and recommend improvements based on business outcomes.
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