Job
Description
As a Business Analyst with a strong background in Artificial Intelligence (AI), Machine Learning (ML), or Data-driven projects, you will act as a bridge between business stakeholders, data scientists, and technical teams to translate business objectives into scalable AI solutions. You will have the opportunity to 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: - Bachelor's degree in Computer Science, Information Systems, Data Science, or Business Administration (Master's 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. As a Business Analyst with a strong background in Artificial Intelligence (AI), Machine Learning (ML), or Data-driven projects, you will act as a bridge between business stakeholders, data scientists, and technical teams to translate business objectives into scalable AI solutions. You will have the opportunity to 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: - Bachelor's degree in Computer Science, Information Systems, Data Science, or Business Administration (Master's 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 wi
