The role is for a Business Analyst with exposure to Generative AI supporting E/E Integration initiatives by translating business needs into clear requirements AI-enabled use cases process improvements and adoption-ready solutions.
What awaits you / Job Profile
Collaborate with stakeholders to understand business needs and document functional and non-functional requirements for E/E Integration and AI-enabled solutions.
Act as the key SPOC between business teams product owners application owners developers solution architects and AI teams.
Identify opportunities where AI and Generative AI can improve productivity quality efficiency knowledge management and user experience within E/E Integration.
Support AI use case discovery requirement gathering prioritization feasibility discussions and business value assessment.
Assist in prompt definition use case validation user acceptance testing feedback collection and adoption tracking for AI applications.
Evaluate existing workflows and suggest AI-driven enhancements automation opportunities and process improvements.
Interpret business and operational data create reports and provide insights for decision-making.
Work with developers and application owners to implement business solutions and ensure alignment with business expectations.
Support knowledge transfer documentation transition activities and best-practice sharing for AI and digital initiatives.
Assist in tracking project progress managing risks and ensuring timely delivery of AI and digital transformation initiatives.
What should you bring along
6 - 10 years of overall IT experience with exposure to Business Analysis Product Management Digital Transformation Process Improvement or application delivery.
Basic understanding of Artificial Intelligence Machine Learning and Generative AI concepts.
Exposure to AI-powered tools such as Microsoft Copilot ChatGPT GitHub Copilot Azure OpenAI Copilot Studio Gemini Claude code or similar platforms.
Ability to translate business requirements into AI use cases user stories acceptance criteria and measurable business outcomes.
Precision in documentation analysis and stakeholder communication.
Strong analytical and problem-solving mindset with the ability to question existing processes and propose improvements.
Ability to build relationships and manage expectations across business and technical teams.
Comfortable working in an agile and rapidly evolving technology landscape.
Passion for continuous learning and adoption of emerging AI technologies.
Exposure to automotive engineering E/E Integration verification testing or enterprise application transformation will be an added advantage.
Must Have Technical Skills
Analytical Thinking - Ability to assess business problems and propose logical solutions.
Requirement Gathering & Documentation - Expertise in creating clear business requirements user stories process flows acceptance criteria and decision logs.
Generative AI Fundamentals - Understanding of LLMs prompts AI copilots RAG concepts responsible AI principles and AI adoption considerations.
Communication Skills - Strong verbal and written communication to interact with stakeholders across business and technology teams.
Problem Solving - Capability to identify issues evaluate alternatives and recommend practical solutions.
Data Interpretation - Ability to analyze business data identify patterns and derive actionable insights.
Project Management - Familiarity with Agile Scrum or Waterfall methodologies.
Stakeholder Management - Ability to work effectively with business leaders product owners architects developers and application teams.
Change Management - Experience in guiding teams through application transitions adoption activities and process changes.
Good to Have Technical Skills
AI / Generative AI certifications from Microsoft Google AWS Coursera Udemy or equivalent learning platforms.
Knowledge of Azure AI Services Azure OpenAI Microsoft Copilot Studio Power Platform or similar AI application platforms.
SQL & Data Querying - Ability to extract and analyze data for deeper insights.
Prompt Engineering - Ability to structure effective prompts and validate AI responses for business use cases.
Process Mining and Workflow Analysis experience.
UI/UX Understanding - Knowledge of user experience principles for better product and application adoption.
Presentation & Storytelling - Ability to communicate insights AI opportunities and business value in a compelling manner.
Experience supporting AI product adoption knowledge management or change enablement initiatives.
Certifications Preferred
Microsoft Azure AI Fundamentals or equivalent AI fundamentals certification.
Microsoft Copilot Power Platform Azure OpenAI or Responsible AI learning/certification exposure.
Any recognized Generative AI Prompt Engineering Business Analysis Agile Scrum or Product Management certification.
Expected Outcome
Enable E/E Integration teams to convert business problems into structured requirements and AI-ready use cases.
Improve process efficiency documentation quality knowledge reuse and adoption of AI applications.
Support successful delivery of AI-enabled business solutions with clear acceptance criteria and stakeholder alignment.
Required Experience:
Manager
RoleBusiness Analyst - Generative AILocationPuneExperience6 - 10 YearsNumber of Openings1Employment TypeFull TimeAbout the RoleThe role is for a Business Analyst with exposure to Generative AI supporting E/E Integration initiatives by translating business needs into clear requirements AI-enabled use...
Role
Business Analyst - Generative AI
Location
Pune
Experience
6 - 10 Years
Number of Openings
1
Employment Type
Full Time
About the Role
The role is for a Business Analyst with exposure to Generative AI supporting E/E Integration initiatives by translating business needs into clear requirements AI-enabled use cases process improvements and adoption-ready solutions.
What awaits you / Job Profile
Collaborate with stakeholders to understand business needs and document functional and non-functional requirements for E/E Integration and AI-enabled solutions.
Act as the key SPOC between business teams product owners application owners developers solution architects and AI teams.
Identify opportunities where AI and Generative AI can improve productivity quality efficiency knowledge management and user experience within E/E Integration.
Support AI use case discovery requirement gathering prioritization feasibility discussions and business value assessment.
Assist in prompt definition use case validation user acceptance testing feedback collection and adoption tracking for AI applications.
Evaluate existing workflows and suggest AI-driven enhancements automation opportunities and process improvements.
Interpret business and operational data create reports and provide insights for decision-making.
Work with developers and application owners to implement business solutions and ensure alignment with business expectations.
Support knowledge transfer documentation transition activities and best-practice sharing for AI and digital initiatives.
Assist in tracking project progress managing risks and ensuring timely delivery of AI and digital transformation initiatives.
What should you bring along
6 - 10 years of overall IT experience with exposure to Business Analysis Product Management Digital Transformation Process Improvement or application delivery.
Basic understanding of Artificial Intelligence Machine Learning and Generative AI concepts.
Exposure to AI-powered tools such as Microsoft Copilot ChatGPT GitHub Copilot Azure OpenAI Copilot Studio Gemini Claude code or similar platforms.
Ability to translate business requirements into AI use cases user stories acceptance criteria and measurable business outcomes.
Precision in documentation analysis and stakeholder communication.
Strong analytical and problem-solving mindset with the ability to question existing processes and propose improvements.
Ability to build relationships and manage expectations across business and technical teams.
Comfortable working in an agile and rapidly evolving technology landscape.
Passion for continuous learning and adoption of emerging AI technologies.
Exposure to automotive engineering E/E Integration verification testing or enterprise application transformation will be an added advantage.
Must Have Technical Skills
Analytical Thinking - Ability to assess business problems and propose logical solutions.
Requirement Gathering & Documentation - Expertise in creating clear business requirements user stories process flows acceptance criteria and decision logs.
Generative AI Fundamentals - Understanding of LLMs prompts AI copilots RAG concepts responsible AI principles and AI adoption considerations.
Communication Skills - Strong verbal and written communication to interact with stakeholders across business and technology teams.
Problem Solving - Capability to identify issues evaluate alternatives and recommend practical solutions.
Data Interpretation - Ability to analyze business data identify patterns and derive actionable insights.
Project Management - Familiarity with Agile Scrum or Waterfall methodologies.
Stakeholder Management - Ability to work effectively with business leaders product owners architects developers and application teams.
Change Management - Experience in guiding teams through application transitions adoption activities and process changes.
Good to Have Technical Skills
AI / Generative AI certifications from Microsoft Google AWS Coursera Udemy or equivalent learning platforms.
Knowledge of Azure AI Services Azure OpenAI Microsoft Copilot Studio Power Platform or similar AI application platforms.
SQL & Data Querying - Ability to extract and analyze data for deeper insights.
Prompt Engineering - Ability to structure effective prompts and validate AI responses for business use cases.
Process Mining and Workflow Analysis experience.
UI/UX Understanding - Knowledge of user experience principles for better product and application adoption.
Presentation & Storytelling - Ability to communicate insights AI opportunities and business value in a compelling manner.
Experience supporting AI product adoption knowledge management or change enablement initiatives.
Certifications Preferred
Microsoft Azure AI Fundamentals or equivalent AI fundamentals certification.
Microsoft Copilot Power Platform Azure OpenAI or Responsible AI learning/certification exposure.
Any recognized Generative AI Prompt Engineering Business Analysis Agile Scrum or Product Management certification.
Expected Outcome
Enable E/E Integration teams to convert business problems into structured requirements and AI-ready use cases.
Improve process efficiency documentation quality knowledge reuse and adoption of AI applications.
Support successful delivery of AI-enabled business solutions with clear acceptance criteria and stakeholder alignment.
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