Lead Business Analyst – AI/ML & Data-Driven Projects

Job Summary:

Key Responsibilities:

Client Engagement & Project Leadership

• Act as the primary point of contact for clients, managing communications, clarifying business needs, and ensuring expectations are aligned.
• Lead and manage AI/ML and data based projects with end-to-end accountability on business analysis deliverables.
• Address and resolve client queries promptly and effectively.
  

Business Requirements & Communication

• Elicit, analyze, and finalize business and functional requirements through workshops, stakeholder interviews, and documentation reviews.
• Translate business requirements into detailed user stories, epics, process flows, and functional specifications.
• Clearly communicate requirements to development, design, and data teams.
  

Data-Driven Analysis & Management

• Work on data-heavy projects involving data ingestion, transformation, analytics, and reporting.
• Collaborate with data analysts, data scientists, and engineers to ensure data models align with business goals.
• Perform data analysis to validate business problems, identify trends, and inform solution design.
• Ensure data accuracy, lineage, and compliance throughout the project lifecycle.
  

Solution Design & Business Workflow Mapping

• Understand and map current and future state business workflows.
• Analyze customer requirements and propose AI/ML or automation solutions that improve efficiency and decision-making.
• Collaborate with solution architects and data scientists to shape technically feasible and impactful solutions.
  

Feature Validation & Release Management

• Validate developed features against business requirements and perform UAT with stakeholders.
• Create and manage release items, documentation, and change logs.
• Provide post-release support, triage issues, and coordinate fixes with tech teams.
  

Agile Delivery & Change Management

• Lead and participate in backlog refinement, sprint planning, and daily stand-ups.
• Prioritize and maintain a healthy product backlog based on business value and delivery timelines.
• Assess change impacts, document scope changes, and manage requirement traceability.
  

Problem Solving & Strategic Thinking

• Apply structured thinking to break down complex business problems and recommend optimal solutions.
• Use critical thinking to assess risks, dependencies, and trade-offs in proposed features or models.
  

Key Skills & Qualifications:

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or related fields.
• 6–10 years of experience in business analysis, with proven experience in AI/ML or data-driven projects.
• Familiarity with large language models, machine learning workflows, and data platforms.
• Strong data literacy with the ability to analyze and interpret structured/unstructured data.
• Excellent communication and stakeholder management skills.
• Proficiency in tools like JIRA, Confluence, SQL, Excel, Power BI/Tableau, Lucidchart, etc.
• Solid understanding of Agile/Scrum practices and software development lifecycle (SDLC).
  

Preferred Qualifications:

• Experience with Generative AI tools and prompt engineering concepts.
• Knowledge of data governance, privacy, and regulatory frameworks.
• Certifications in Business Analysis (CBAP, PMI-PBA) will be add-on.
• Experience in industries like legal tech, BFSI, or enterprise SaaS preferred