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About the role
We are hiring a high-impact Lead Business Analyst to drive enterprise-scale Data, Analytics, and Generative AI initiatives across business functions. This role requires a strong blend of business consulting, product thinking, data understanding, and AI/GenAI exposure. The ideal candidate will work closely with business leaders, data scientists, engineers, and product teams to identify opportunities, define solutions, and deliver measurable business outcomes using AI-powered products and data platforms. The candidate will have responsibilities across the following functions: Business Problem Solving and AI Use Case Discovery: Partner with business stakeholders to identify high-impact business problems and AI opportunities.Translate business challenges into structured, analytical and GenAI-driven solution approaches.Define KPIs, ROI frameworks, success metrics, and value realisation plans for AI and data initiatives.Drive prioritisation of GenAI and analytics use cases based on business impact and feasibility. Requirements Gathering and Product Definition: Lead requirement discovery workshops, stakeholder discussions, and solutioning sessions.Create BRDs, FRDs, user stories, epics, workflows, and acceptance criteria in Agile environments.Collaborate with Data Engineering, AI/ML, and Product teams to define scalable solution architectures.Manage demand pipelines, sprint backlogs, and delivery tracking using Jira/Confluence. GenAI and AI Product Enablement: Work on GenAI-led use cases such as: Conversational AI, AI copilots and assistants, and Intelligent automation.Knowledge management systems.Insight generation platforms.Support AI product adoption, feedback loops, experimentation, and continuous improvements.Coordinate closely with Data Science and Engineering teams during model rollout and deployment. Stakeholder Management and Agile Delivery: Act as a bridge between Business, Product, Engineering, and AI teams.Facilitate alignment on scope, priorities, timelines, and technical feasibility.Lead Agile ceremonies, including sprint planning, backlog grooming, UAT coordination, and release tracking.Present executive-ready insights, dashboards, and progress updates to senior leadership. Value Realisation and Governance: Track business impact, adoption metrics, and ROI of deployed AI solutions.Monitor model performance, drift, usage patterns, and operational KPIs.Drive continuous process optimisation using data-driven feedback mechanisms. Requirements: Bachelor's degree in Engineering, Analytics, Computer Science, Business, or related fields.An MBA or equivalent qualification is a must.8-12 years of experience in Business Analysis, Consulting, Product Analytics, Data, or AI-driven transformation roles.Strong experience working with cross-functional technology and business teams.Strong understanding of Data Analytics, AI/ML, and Generative AI ecosystems.Experience working with AI/GenAI products, copilots, automation platforms, or conversational AI solutions. Preferred Skills: Good understanding of APIs, data pipelines, cloud ecosystems, and AI workflows.Hands-on experience with: Jira and Confluence, SQL and data querying, AWS / Azure / GCP environments.Familiarity with Agile/Scrum delivery models. Must-Have Soft Skills: Strong problem-solving and structured thinking ability.Excellent stakeholder management and communication skills.Ability to simplify complex technical concepts for business teams.Strong ownership mindset with the ability to operate in ambiguity.Leadership and mentoring capabilities in cross-functional environments. We are hiring a high-impact Lead Business Analyst to drive enterprise-scale Data, Analytics, and Generative AI initiatives across business functions. This role requires a strong blend of business consulting, product thinking, data understanding, and AI/GenAI exposure. The ideal candidate will work closely with business leaders, data scientists, engineers, and product teams to identify opportunities, define solutions, and deliver measurable business outcomes using AI-powered products and data platforms. The candidate will have responsibilities across the following functions: Business Problem Solving and AI Use Case Discovery: Partner with business stakeholders to identify high-impact business problems and AI opportunities.Translate business challenges into structured, analytical and GenAI-driven solution approaches.Define KPIs, ROI frameworks, success metrics, and value realisation plans for AI and data initiatives.Drive prioritisation of GenAI and analytics use cases based on business impact and feasibility. Requirements Gathering and Product Definition: Lead requirement discovery workshops, stakeholder discussions, and solutioning sessions.Create BRDs, FRDs, user stories, epics, workflows, and acceptance criteria in Agile environments.Collaborate with Data Engineering, AI/ML, and Product teams to define scalable solution architecture
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