Back to SearchLead Business Analyst – AI/ML
Office in India: Coimbatore,
& 5 others
Business Analysis
& 6 others
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We are seeking a Lead Business Analyst – AI/ML to drive the end-to-end ownership of AI systems across AI/ML, Deep Learning, NLP, Computer Vision, and Generative AI. This role bridges business strategy, engineering, product delivery, and governance, ensuring scalable, compliant, and value-driven AI solutions throughout their lifecycle.
Responsibilities
- Lead discovery and definition of complex AI problem statements
- Decide suitability of AI, GenAI, rule-based, or traditional automation approaches
- Define value hypotheses, assumptions, constraints, and risks
- Own AI use cases from ideation through production scale
- Define and manage AI functional and non-functional requirements including latency, scalability, reliability, and explainability
- Set acceptance criteria aligned to AI behavior and outcomes
- Oversee AI Evals, AI Metrics, validation, and value realization
- Develop data strategy and dataset requirements
- Specify model build or usage requirements, retraining, and decommissioning strategies
- Guide feature evolution and retraining cycles
- Manage MLOps and LLMOps lifecycle
- In GenAI, direct prompting, orchestration, and inference workflows
- Shape AI behavior, UX, human-in-the-loop design, confidence thresholds, fallback mechanisms, and failure modes
- Ensure AI outputs align with business rules and user expectations
- Participate in model validation, UAT, pilot launches, and phased rollouts
- Establish post-production monitoring and feedback loops
- Oversee AI lifecycle, governance, and compliance
- Apply responsible AI principles including fairness, bias, and transparency
- Support industry and regulatory requirements, auditability, explainability, and traceability
- Advise business and leadership on AI capabilities and limitations
- Bridge communication between business stakeholders, data science, engineering, architecture, risk, legal, and compliance
- Drive adoption, change management, and AI literacy
Requirements
- 10–14 years overall experience with 4–12+ years as BA, PO, or Product Analyst and 4+ years delivering AI-driven products or platforms
- Knowledge of business analysis, requirement gathering, BRD, FRD, and stakeholder management
- Expertise in Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI/LLMs
- Understanding of MLOps, LLMOps lifecycle, dataset creation, labeling, and quality considerations
- Skills in AI evaluation metrics, monitoring strategies, and responsible AI and ethics
- Advanced requirements engineering for AI systems and Agile Product Ownership for AI and data teams
- Experience owning AI solutions from concept to production