Lead Business Analyst - Data & Analytics/Generative AI

Role Overview
We are seeking an experienced and strategic Lead Business Analyst to drive business impact across Data & Analytics and Generative AI (GenAI) initiatives. This role will act as a key bridge between business stakeholders, data science teams, engineering, and product functions to define, deliver, and scale data-driven and AI-powered solutions.
The ideal candidate will bring a strong mix of business acumen, data fluency, stakeholder management, and experience working on AI/ML/GenAI-driven products, with the ability to translate complex business needs into actionable insights and technical requirements.
Key Responsibilities
1. Problem define
- Partner with business Stakeholders to understand and define the problem statement for the team to solve
- Break down the business problem into data, analytical and AI steps with clear hypotheses and measurable outcomes.
- Define ROI, success metrics (KPIs), and value tracking frameworks for data and AI initiatives.
2. Requirements Gathering & Solution Design
- Lead end-to-end requirements elicitation using structured approaches (workshops, stakeholder interviews, design thinking).
- Create user stories, epics, BRDs/FRDs, and acceptance criteria aligned with Agile methodologies.
- Collaborate with architects and data teams to define solution architecture involving data pipelines, models, and GenAI components
- Manage the demand pipeline and track progress in JIRA
3. GenAI Product & Use Case Development

- Identify and shape GenAI use cases across functions (e.g., automation, insights generation, conversational AI, knowledge assistants).
- Drive user adoption and feedback loops for continuous improvement of AI products.
4. Stakeholder Management & Communication
- Act as a trusted advisor to senior stakeholders across business, technology, and product teams.
Facilitate alignment between:
- Business expectations
- Technical feasibility
- Delivery timelines
- Present insights, recommendations, and progress updates through executive-ready storytelling and dashboards.
5. Agile Delivery & Project Leadership
- Lead/collaborate in Agile squads, owning backlog prioritization and sprint planning.
- Ensure timely and high-quality delivery of data and AI solutions.
- Manage dependencies across cross-functional teams (engineering, data science, product).
- Drive UAT, change management, and production rollout.
6. Value Realization & Continuous Improvement
- Track and report business impact and ROI of analytics and GenAI initiatives.
- Define and monitor model performance, drift, and business adoption KPIs.
- Drive continuous enhancement using data-driven feedback loops.
Required Skills & Qualifications
Education
- Bachelor's in engineering, Business, Analytics, Data Science, or a related field.
- MBA or equivalent is must
Experience
- 8+ years of experience in Business Analysis / Consulting / Data & Analytics roles
Technical Skills (Preferred)
Experience with tools like:
- Jira, Confluence
- Cloud platforms (AWS, Azure, GCP)
- SQL and data querying proficiency