Business Analyst- AI
Coralai · Bengaluru · onsite · Posted 30d ago
Undisclosed8–13 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Your future duties and responsibilities:
Role Purpose
We are seeking a highly motivated and forward-thinking Business Analyst with strong AI and GenAI capabilities to join our digital transformation journey.
The successful candidate will bridge business and technology teams, identify AI-driven opportunities, define requirements, and support the delivery of innovative AI solutions that create measurable business value.
Key Responsibilities
Business Analysis & Stakeholder Management
Engage with business stakeholders to understand strategic objectives, business processes, pain points, and desired outcomes.
Facilitate workshops and discovery sessions to identify AI and GenAI opportunities.
Gather, analyse, and document business, functional, non-functional, data, and AI-specific requirements.
Translate business needs into clear specifications for data scientists, AI engineers, and development teams.
AI & GenAI Solution Enablement
Identify and assess AI/GenAI use cases that deliver tangible business value.
Conduct feasibility assessments, business case development, cost-benefit analysis, and ROI evaluations.
Define success metrics, KPIs, model accuracy thresholds, and value realisation measures.
Support solution design, testing, validation, deployment, and adoption activities.
Data & Technology Collaboration
Work closely with data, engineering, and product teams to ensure AI solutions meet business objectives.
Understand data models, schemas, data quality requirements, and enterprise data platforms.
Collaborate on AI/ML solution development using modern cloud and data ecosystems.
Contribute to prompt design, prompt engineering, and GenAI solution optimisation.
Governance & Responsible AI
Ensure AI solutions comply with Responsible AI principles, governance requirements, regulatory obligations, fairness, explainability, and human oversight expectations.
Identify risks and mitigation strategies associated with AI implementation.
Support ongoing monitoring of model performance, business adoption, and value delivery.
We are seeking a highly motivated and forward-thinking Business Analyst with strong AI and GenAI capabilities to join our digital transformation journey.
The successful candidate will bridge business and technology teams, identify AI-driven opportunities, define requirements, and support the delivery of innovative AI solutions that create measurable business value.
Key Responsibilities
Business Analysis & Stakeholder Management
Engage with business stakeholders to understand strategic objectives, business processes, pain points, and desired outcomes.
Facilitate workshops and discovery sessions to identify AI and GenAI opportunities.
Gather, analyse, and document business, functional, non-functional, data, and AI-specific requirements.
Translate business needs into clear specifications for data scientists, AI engineers, and development teams.
AI & GenAI Solution Enablement
Identify and assess AI/GenAI use cases that deliver tangible business value.
Conduct feasibility assessments, business case development, cost-benefit analysis, and ROI evaluations.
Define success metrics, KPIs, model accuracy thresholds, and value realisation measures.
Support solution design, testing, validation, deployment, and adoption activities.
Data & Technology Collaboration
Work closely with data, engineering, and product teams to ensure AI solutions meet business objectives.
Understand data models, schemas, data quality requirements, and enterprise data platforms.
Collaborate on AI/ML solution development using modern cloud and data ecosystems.
Contribute to prompt design, prompt engineering, and GenAI solution optimisation.
Governance & Responsible AI
Ensure AI solutions comply with Responsible AI principles, governance requirements, regulatory obligations, fairness, explainability, and human oversight expectations.
Identify risks and mitigation strategies associated with AI implementation.
Support ongoing monitoring of model performance, business adoption, and value delivery.
Required qualifications to be successful in this role:
Required Skills & Experience
Functional Skills
Strong Business Analysis experience in Agile delivery environments.
Expertise in requirements elicitation, process modelling, stakeholder management, and solution design.
Proven ability to translate business problems into technology solutions.
Strong facilitation, communication, and consulting skills.
AI & GenAI Skills
Solid understanding of AI, Machine Learning, Large Language Models (LLMs), and Generative AI concepts.
Experience identifying and shaping AI use cases aligned with business objectives.
Knowledge of prompt engineering and AI solution adoption practices.
Ability to evaluate AI opportunities and realisation of business benefits.
Data & Technical Skills
Understanding of SQL, data models, data schemas, and analytics concepts.
Experience working with enterprise data platforms and cloud-based AI ecosystems.
Exposure to Databricks, Azure AI Foundry, or similar AI/data platforms is highly desirable.
Ability to collaborate effectively with data scientists, architects, and developers.
Functional Skills
Strong Business Analysis experience in Agile delivery environments.
Expertise in requirements elicitation, process modelling, stakeholder management, and solution design.
Proven ability to translate business problems into technology solutions.
Strong facilitation, communication, and consulting skills.
AI & GenAI Skills
Solid understanding of AI, Machine Learning, Large Language Models (LLMs), and Generative AI concepts.
Experience identifying and shaping AI use cases aligned with business objectives.
Knowledge of prompt engineering and AI solution adoption practices.
Ability to evaluate AI opportunities and realisation of business benefits.
Data & Technical Skills
Understanding of SQL, data models, data schemas, and analytics concepts.
Experience working with enterprise data platforms and cloud-based AI ecosystems.
Exposure to Databricks, Azure AI Foundry, or similar AI/data platforms is highly desirable.
Ability to collaborate effectively with data scientists, architects, and developers.
Skills:
- Agile Business Analysis
- Business Analysis
- Agile AI Execution Frameworks
- Artificial Intelligence
- Stakeholder management
Sourced from naukri
Skills
data qualityAgilelanguage modelsBusiness AnalystBusiness AnalysisAnalyticsDatabrickscloudSQLDigital TransformationStakeholder ManagementAi SolutionsMicrosoft AzureGenerative AiArtificial IntelligenceMachine Learning