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-perk 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