Technical Business Analyst - Azure DevOps & AI Platform

Technical Business Analyst - Azure Dev Ops & AI Platform () Responsibilities

• Gather, analyze, and document business and technical requirements for Azure Dev Ops, AI, CI/CD, and platform engineering initiatives
• Translate business requirements into user stories, acceptance criteria, functional specifications, and actionable technical requirements
• Define functional and non-functional requirements including scalability, security, performance, and operational expectations
• Collaborate with stakeholders, development teams, Dev Ops engineers, architects, and platform teams to ensure successful delivery of technology solutions
• Manage and maintain backlog items using Azure Dev Ops Boards including Epics, Features, User Stories, and requirements tracking
• Ensure end-to-end requirement traceability across development, testing, deployment, and release activities
• Support Agile delivery processes including sprint planning, backlog refinement, grooming sessions, and progress tracking
• Work closely with Dev Ops teams to define requirements for CI/CD pipelines, automation workflows, and continuous delivery improvements
• Support release readiness activities by defining acceptance criteria, test requirements, and deployment expectations
• Collaborate with AI/ML teams to define business use cases, document data flows, and support AI solution delivery
• Support AI lifecycle alignment covering data, model development, deployment, monitoring, and governance activities
• Collaborate with platform engineering teams to identify automation opportunities, self-service capabilities, and platform improvements
• Support the design of internal developer platform workflows and CI/CD integration models
• Act as a bridge between business teams, technology teams, Dev Ops, AI, and platform engineering stakeholders
• Facilitate workshops, requirement discussions, solution validation sessions, and stakeholder communication

• 5+ years of experience as a Technical Business Analyst, Business Analyst, or similar role within technology and digital transformation environments
• Strong experience with Azure Dev Ops including Boards, backlog management, user stories, and requirement traceability
• Strong understanding of Agile methodologies, Scrum practices, sprint delivery, and software development lifecycle
• Experience translating business needs into technical requirements and supporting engineering teams
• Understanding of CI/CD processes, Dev Ops practices, automation workflows, and release management
• Experience working with cloud-based platforms, preferably Microsoft Azure environments
• Knowledge of AI/ML concepts and experience supporting AI-driven initiatives is preferred
• Understanding of data flows, system integrations, and platform engineering concepts
• Experience collaborating with developers, Dev Ops engineers, architects, product owners, and business stakeholders
• Strong analytical and problem-solving skills with the ability to manage complex technical requirements
• Excellent communication and documentation skills with the ability to work with both technical and non-technical stakeholders

• Bridge business objectives with technical implementation by converting requirements into clear delivery plans
• Create structured user stories, acceptance criteria, and functional specifications
• Support engineering teams by ensuring clarity, alignment, and successful delivery outcomes
• Identify opportunities for automation, process improvement, and platform optimization
• Collaborate across business, AI, cloud, and Dev Ops teams to drive successful initiatives
• Manage multiple priorities while maintaining focus on quality and delivery
• Work effectively in an Agile and collaborative technology environment

• Opportunity to work on Azure Dev Ops, AI platform, CI/CD, and cloud transformation initiatives
• Exposure to modern engineering practices, automation, and digital transformation projects
• Collaboration with business, development, Dev Ops, and platform engineering teams
• Opportunity to contribute to AI-driven and technology modernization programs
• Growth opportunities through challenging enterprise technology initiatives