Business Analyst - AI/ML Product Owner (Automotive Domain)

Job Summary

We are seeking a seasoned Business Analyst with strong AI/ML product ownership experience in the automotive industry . This role will serve as the critical bridge between business stakeholders, SMEs, and technical teams, ensuring the successful delivery of data-driven, intelligent solutions. The ideal candidate will have a deep understanding of automotive dealer workflows, hands-on experience mapping business processes, and the ability to articulate requirements in Gherkin syntax

Key Responsibilities

• Act as Product Owner and Business Analyst for AI/ML-powered products in the automotive domain, particularly around dealer service workflows .
• Collaborate with StarParts product owners and stakeholders to define and prioritize product features and use cases.
• Map as-is dealer workflows to gain a deep understanding of current business processes and pain points.
• Translate business requirements into well-defined Gherkin user stories and define clear acceptance criteria .
• Validate acceptance criteria and ensure business alignment directly with product stakeholders.
• Partner with Subject Matter Experts (SMEs)across domains to gather input and confirm business logic and requirements.
• Work closely with design, development, and data science teams to ensure business goals are accurately reflected in the final solutions.
• Facilitate sprint planning, backlog grooming, and sprint reviews in agile development cycles.
• Support UAT, conduct demos, and ensure that product increments meet customer expectations

Required Qualifications

• 8+ years of Business Analysis experience, including direct product ownership in AI/ML initiatives .
• Proven experience working in the automotive domain , preferably on service, repair, or dealer operations.
• Strong knowledge of dealer workflows and service lifecycle .
• Proficient in writing Gherkin-style user stories and defining clear, testable acceptance criteria .
• Ability to map as-is business processes and identify gaps and opportunities.
• Strong stakeholder management and interpersonal communication skills.
• Familiarity with Agile/Scrum methodologies and tools (e.g., Jira, Confluence).
• Technical familiarity with AI/ML concepts and the ability to translate business needs into data science objectives.

Preferred Qualifications

• Experience with StarParts or similar OEM service parts solutions .
• Exposure to AI/ML use cases in automotive service optimization, predictive maintenance, or parts recommendation.
• Understanding of automotive dealer management systems (DMS)or ERP tools.
• Bachelor's degree in Business, Engineering, Computer Science, or a related field. Advanced degree is a plus.