Job Description:

- AI Use Case Identification: Identify, evaluate, and prioritize AI/ML use cases aligned with business objectives and operational requirements.

- Business Case Development: Prepare business cases, feasibility assessments, cost-benefit analyses, and ROI calculations for proposed AI initiatives.

- Use Case Lifecycle Management: Manage AI use cases from ideation and requirement gathering through development, testing, implementation, and post-implementation evaluation.

- Business Requirements Documentation: Prepare Business Requirements Documents (BRDs), functional specifications, user stories, process flows, and other relevant documentation.

- Stakeholder Management: Collaborate with business teams, data scientists, AI/ML engineers, technology teams, and senior stakeholders to ensure alignment between business needs and technical solutions.

- Data Lineage and Governance: Ensure appropriate data lineage,



data quality, traceability, documentation, and compliance with data governance requirements.

- AI Solution Documentation: Document AI solution requirements, business workflows, assumptions, dependencies, expected outcomes, and success metrics.

- Agile Delivery: Participate in Agile ceremonies, backlog prioritization, sprint planning, user acceptance testing (UAT), and implementation reviews.

- Performance Monitoring: Define KPIs and success criteria to evaluate the business impact, adoption, and effectiveness of AI solutions.

- Responsible AI: Support the adoption of responsible AI practices, including transparency, explainability, risk assessment, and appropriate governance controls.

📌 AI Business Aanlyst (Mumbai)
🏢 Acme Services Private
📍 Mumbai