Business Analyst (Gen AI) - E/E Integrat...

BMW TechWorks India Private Limited; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

BMW TechWorks India Private Limited is seeking a Business Analyst (Gen AI) with 6–10 years of IT experience to translate business needs into AI-enabled use cases for E/E Integration. You will collaborate with stakeholders, serve as the single point of contact among business and AI teams, and identify opportunities to apply Generative AI for productivity and user experience improvements.

The role emphasizes requirements articulation, prioritization, acceptance criteria, and measurable business

Qualifications

• 6 - 10 years of overall IT experience with exposure to Business Analysis, Product Management, Digital Transformation, 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.

Responsibilities

• 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.

Skills

Analytical Thinking

Requirement Gathering

Generative AI

Communication Skills

Problem Solving

Data Interpretation

Project Management

Stakeholder Management

Change Management

Agile / Scrum

Job description

Business Analyst (Gen AI) - E/E Integration...

BTWI/BA--I/1813964

• Digital Company
• Pune

Posted On 28 Jul 2026

End Date 31 Aug 2026

Required Experience 6 - 10 years

Number of Openings

1

Employment Type

Full Time

Experience

6 - 10 Years

Location

Pune

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.
• 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.