Business Analyst – AI Projects

Business Analyst

You will play a key role in identifying opportunities for AI adoption, defining requirements, managing data needs, and ensuring successful project delivery from concept to production.

Key Responsibilities:

• Collaborate with business leaders and technical teams to identify opportunities for AI and automation.
• Gather, document, and validate

  business, functional, and non-functional requirements

  for AI/ML projects.
• Translate business objectives into clear technical specifications, user stories, and acceptance criteria.
• Work closely with

  data scientists, AI engineers, and product managers

  to define model goals, success metrics, and deployment strategies.
• Conduct feasibility and impact analysis for proposed AI solutions.
• Develop

  process flow diagrams, use case documentation, and data mapping

  for AI system integration.
• Support data preparation, annotation, and validation activities as needed.
• Monitor AI model performance post-deployment and recommend improvements.
• Communicate complex AI concepts in simple business language to non-technical stakeholders.
• Manage stakeholder expectations and ensure alignment across cross-functional teams.

Required Skills & Qualifications:

• Bachelor’s degree in

  Computer Science, Information Systems, Data Science, or Business Administration

  (Master’s preferred).

• 5+years of experience

  as a Business Analyst, with at least 4

  + years on AI/ML or Data Analytics projects.

• Strong understanding of

  AI concepts

  , such as predictive analytics, NLP, computer vision, or RPA.
• Experience with tools like

  JIRA, Confluence, Tableau/Power BI, and SQL

  for analysis and documentation.
• Ability to interpret data insights and communicate findings to drive business decisions.
• Excellent stakeholder management, communication, and documentation skills.
• Understanding of

  SDLC, Agile methodologies, and AI/ML lifecycle

  (from data collection to model deployment).

Preferred Skills:

• Exposure to

  cloud AI services

  (AWS Sagemaker, Google AI, Azure Cognitive Services).
• Familiarity with

  Python, data visualization, or MLOps workflows

  .
• Experience working in industries such as

  FinTech, Healthcare, E-commerce, or Manufacturing

  with AI applications.