Business Analyst Lead | GenAI Strategy & Implementation Bean Hr Consulting

7.0 - 12.0 years

20 - 25 Lacs

Noida, Gurugram, Delhi / NCR

Work from Office

Business Analyst Lead | GenAI Strategy & Implementation | 7-10 Years of Experience Locations Open To: Gurgaon | Noida Seasoned Business Analyst Lead with 7-10 years of experience driving the adoption and operationalization of Generative AI technologies within enterprise environments. Proven ability to bridge the gap between cutting-edge innovationssuch as LLMs, RAG systems, and AI agentsand measurable business value. GenAI & Technical Expertise: Hands-on with LangChain, LlamaIndex, and RAG architectures; experience fine-tuning models using LoRA and working with vector DBs. Proficient in GenAI platforms including Azure OpenAI Studio, GCP Vertex AI, and Hugging Face. Familiar with synthetic data tools (Gretel, Mostly AI); skilled in validating data quality using SQL and Python. Business Analysis & Use Case Delivery: Skilled in identifying high-impact GenAI use cases across domains like content automation, customer service, and synthetic data generation. Expert in user story mapping for complex agent workflows (AutoGen, CrewAI) and BPMN process modeling for AI-human interaction. Conducts detailed cost-benefit analyses (e.g., GPT-4 Enterprise vs. open-source models) to inform build-vs-buy decisions. Requirements Engineering & Governance: Defines GenAI-specific NFRs including hallucination thresholds, latency SLAs, and ethical safeguards (bias, PII). Documents prompt engineering playbooks and iteration workflows to support scalable solution development. Establishes performance frameworks: token cost metrics, user trust scores, model drift alerts, and audit mechanisms aligned to regulatory standards (e.g., EU AI Act). Stakeholder Enablement: Converts technical GenAI potential into tangible business outcomes—such as reducing support costs by 30% or halving contract turnaround times with AI tools. Manages stakeholder expectations around the probabilistic nature of GenAI, implementing robust fact-checking and feedback loops.

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