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-advantage 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 Maharashtra
🏢 Acme Services
📍 Maharashtra