Business Analyst

Overview

• Business Analyst Responsibilities
• Engage with stakeholders to gather, analyse, and document business requirements for Agentic AI, Gen AI, and ML projects.
• Translate complex AI business needs into functional specifications, user stories, and acceptance criteria.
• Ensure alignment between business objectives and advanced AI/ML technical solutions.
• Conduct gap analysis and recommend process improvements for AI-driven workflows.
• Collaborate with data scientists, AI engineers, and development teams to define and refine project scope.
• Support testing efforts by validating requirements and assisting with UAT, especially for AI/ML models and agentic systems.
• Ensure compliance with SOC1/SOC2, data privacy, and internal security standards.
• Scrum Master Responsibilities
• Act as a servant leader and facilitate Agile ceremonies (Sprint Planning, Stand-ups, Retrospectives, etc.) for AI-focused teams.
• Guide teams on Agile best practices and remove impediments, with a focus on AI/ML project delivery.
• Foster a culture of continuous improvement and ensure adherence to Agile principles in AI development.
• Enable communication and collaboration between business, technical, and AI research teams.
• Track sprint progress and report key metrics to stakeholders, including AI model performance and delivery milestones.
• Encourage team accountability and ensure timely delivery of sprint objectives in Agentic and Gen AI projects.
  

• Bachelor’s degree in Information Technology, Computer Science, or related field.
• 10–11 years of experience in Business Analysis and Agile Scrum Management, with at least 2–3 years in Agentic AI, Gen AI, or ML projects.
• Strong understanding of Agentic AI concepts, Generative AI, and Machine Learning lifecycle.
• Hands-on experience in delivering projects involving agentic systems, autonomous agents, or generative models.
• Proficiency in Agile frameworks (Scrum, Kanban) and SDLC, especially in AI/ML environments.
• Proficiency in Azure DevOps or similar Agile tools.
• Experience in stakeholder management and working with cross-functional teams, including AI/ML specialists.
• Ability to define requirements, create user stories, and manage backlogs for AI/ML projects.
• Excellent problem-solving, analytical, and communication skills.
• Certified Scrum Master (CSM/PSM) and/or Certified Business Analyst (CBAP) preferred.
• Experience with regulatory and ethical considerations in AI projects is a plus.