Business Analyst - Generative AI

Job Title

Experience

Location

About Newtuple Technologies

Artificial Intelligence (AI)

Business Analyst (BA)

Role Overview

Business Analyst

AI and GenAI applications

Key Responsibilities

• Requirement Analysis & Elicitation

• Work with stakeholders to capture, document, and validate business requirements.
• Translate business problems into AI/GenAI-driven use cases and product features.

• Prompt engineering and Agent development

• Work with business and technology teams in writing detailed prompts that will be deployed to AI applications
• Understand how to architect and deploy agents for business use cases
• Run evaluations against AI prompts & applications

• AI/GenAI Solution Scoping

• Identify opportunities where AI (predictive models, NLP, computer vision) and GenAI (chatbots, copilots, content generation, automation) can be applied.
• Support feasibility studies by collaborating with data science and engineering teams.

• Process & Gap Analysis

• Map existing workflows and propose AI-enhanced processes.
• Perform cost-benefit and ROI analysis for AI initiatives.

• Stakeholder Communication

• Act as the liaison between technical teams and business units.
• Present insights, prototypes, and reports to stakeholders in a clear, data-driven manner.

• Product Development Support

• Contribute to the creation of

  PRDs, user stories, and acceptance criteria

  .
• Support testing and validation of AI/GenAI models in real-world scenarios.

• Market & Competitive Research

• Stay updated on AI and GenAI trends, tools (e.g., OpenAI, Anthropic, Hugging Face, LangChain), and competitor offerings.
• Recommend innovations that align with business strategy.

Required Skills & Qualifications

• Educational Background:

  Bachelor’s or Master’s degree in Business Administration, Computer Science, Data Analytics, or a related field.

• Experience:

  4+ years as a Business Analyst or Product Analyst, preferably in

  AI/ML-driven products

  .

• Knowledge of AI & GenAI:

• Familiarity with AI concepts such as NLP, computer vision, recommender systems, and conversational AI.
• Awareness of Generative AI applications (LLMs, prompt engineering, content creation, AI copilots).

• Analytical Skills:

  Strong ability to analyze business workflows, identify gaps, and propose improvements.

• Technical Acumen:

  Basic understanding of data pipelines, APIs, and AI model lifecycle.

• Tools:

  Proficiency in tools like JIRA, Confluence, Tableau/PowerBI, and knowledge of Python/SQL (good-to-have).

• Soft Skills:

  Strong communication, stakeholder management, and documentation skills.

Preferred (Nice-to-Have)

• Exposure to

  cloud platforms

  (AWS, GCP, Azure) with AI/ML services.
• Understanding of

  MLOps and AI governance

  .
• Experience in building or deploying

  chatbots, copilots, or GenAI-powered assistants

  .