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.