AI Business Analyst

6 days ago

Chennai Noida Pune, India Capgemini Full time US$ 1,04,000 - US$ 1,30,878 per year

Job Description: As an Engagement Product Business Analyst specializing in Product & Business Analysis, with expertise in P2P, O2C, R2R, Finance & Banking processes, Gen AI, Artificial Intelligence/Machine Learning skills, you will play a pivotal role in client interactions and project delivery. With over 11+ years of experience, your responsibilities will include gathering client requirements, analyzing business processes, and leveraging your expertise to integrate cutting-edge AI/ML technologies to deliver high impact solutions.

Must Have:

  • Strong knowledge of Finance and Accounting or Banking/Insurance domains. Familiarity with supply chain and customer operational business knowledge is a plus.
  • Extensive experience in end-to-end process automation in any one area of P2P, O2C, R2R, Finance, Banking, or Supply Chain.
  • Comprehensive understanding of client applications such as Blackline, Highradius, and ERP workflows.
  • A Bachelors/ Masters degree in Business Administration, Finance, Accounting, Computer Science, or a related field is usually required. Advanced degrees such as an MBA or relevant certifications in business analysis or project management can be advantageous.

Key Responsibilities:

  1. Client Engagement:

  2. Collaborate closely with clients to understand their business objectives, challenges, and requirements.

  3. Establish and maintain strong relationships with key stakeholders throughout the engagement lifecycle.

  4. Requirements Analysis:

  5. Gather and analyze client requirements related to P2P processes, Gen AI, and AI/ML integration.

  6. Translate client needs into actionable insights, ensuring alignment with industry best practices.

  7. Gen AI and AI/ML Integration:

  8. Contribute expertise in integrating Generative AI and advanced AI/ML technologies to enhance product features.

  9. Create solution proposal with As - Is, To be process details along with complete requirements gathered from client in more effective way.

  10. Collaborate with development teams to ensure seamless integration of AI/ML solutions based on client requirements.

  11. User Story Development:

  12. Develop detailed user stories with acceptance criteria, focusing on client-specific requirements and expectations.

  13. Prioritize user stories based on business value, client impact, and technical feasibility.

  14. Project Delivery:

  15. Play a key role in project planning and delivery, ensuring alignment with client expectations and project timelines.

  16. Work closely with cross-functional teams to ensure successful implementation.

  17. Training and Support:

  18. Provide training and support to clients on implemented solutions, ensuring a smooth transition and user adoption.

  19. Address client queries and concerns throughout the engagement.

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