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Job Description

Description :


We are seeking an experienced Business Analyst with a strong background in Artificial Intelligence (AI), Machine Learning (ML), or Data-driven projects.

The ideal candidate will act as a bridge between business stakeholders, data scientists, and technical teams to translate business objectives into scalable AI solutions.

You will play a key role in identifying opportunities for AI adoption, defining requirements, managing data needs, and ensuring successful project delivery from concept to production.

Key Responsibilities :


- Collaborate with business leaders and technical teams to identify opportunities for AI and automation.


- Gather, document, and validate business, functional, and non-functional requirements for AI/ML projects.

- Translate business objectives into clear technical specifications, user stories, and acceptance criteria.

- Work closely with data scientists, AI engineers, and product managers to define model goals,

success metrics, and deployment strategies.

- Conduct feasibility and impact analysis for proposed AI solutions.

- Develop process flow diagrams, use case documentation, and data mapping for AI system

integration.

- Support data preparation, annotation, and validation activities as needed.

- Monitor AI model performance post-deployment and recommend improvements.

- Communicate complex AI concepts in simple business language to non-technical

stakeholders.

- Manage stakeholder expectations and ensure alignment across cross-functional teams.

Required Skills & Qualifications :


- Bachelors degree in Computer Science, Information Systems, Data Science, or Business Administration (Masters preferred).

- 5+years of experience as a Business Analyst, with at least 4+ years on AI/ML or Data Analytics

projects.

- Strong understanding of AI concepts, such as predictive analytics, NLP, computer vision, or

RPA.

- Experience with tools like JIRA, Confluence, Tableau/Power BI, and SQL for analysis and

documentation.

- Ability to interpret data insights and communicate findings to drive business decisions.

- Excellent stakeholder management, communication, and documentation skills.

- Understanding of SDLC, Agile methodologies, and AI/ML lifecycle (from data collection to model deployment).

Preferred Skills :


- Exposure to cloud AI services (AWS Sagemaker, Google AI, Azure Cognitive Services).

- Familiarity with Python, data visualization, or MLOps workflows.

- Experience working in industries such as FinTech, Healthcare, E-commerce, or Manufacturing

with AI applications.


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