Sr Business Analyst with AI | Remote

Mexico·Mexico Citysenior

Business AnalystData & AI

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Quick Summary

Requirements Summary

Elicit, analyze, and document functional and non-functional requirements, translating them into user stories, acceptance criteria, and process flows. Agile Delivery: Participate in Sprint planning,

Technical Tools

Business AnalystData & AI

Important IT company At the Latin American level, growth requires:

Serve as a critical bridge between business, product, architecture, and engineering teams to deliver scalable and secure enterprise software solutions hosted on Microsoft Azure.

Business analysis, Agile (Scrum) methodologies, cloud-based applications, and Artificial Intelligence (AI) technologies.

Responsibilities

~1 min read

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Requirements Management: Elicit, analyze, and document functional and non-functional requirements, translating them into user stories, acceptance criteria, and process flows.
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Agile Delivery: Participate in Sprint planning, backlog refinement, and feature prioritization alongside Product Owners and development teams.
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Enterprise Software Analysis: Define future-state capabilities, assess impacts, model processes, and ensure traceability from requirements to business outcomes.
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Azure Development Support: Analyze system interactions, data flows, and platform dependencies on Microsoft Azure to align with technical implementation approaches.
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AI & Intelligent Solutions: Define requirements for AI-powered features, agentic workflows, and intelligent automation while promoting responsible and ethical AI use.
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Stakeholder Management: Facilitate communication, manage competing priorities, resolve ambiguities, and present proposals to leadership.

Requirements

~1 min read

Experience: 8+ years of Business Analyst experience within software product development environments, focusing on enterprise-scale products.
Technical Skills: Strong background in requirements gathering, process analysis, functional specifications, REST APIs, SQL, and data modeling.
Tools: Azure DevOps (ADO), Jira, Confluence, Microsoft 365, process modeling tools (Visio/Miro), and Power BI (preferred).
AI Knowledge: Generative AI concepts, LLMs, Microsoft Copilot, AI agents, RAG workflows, and AI governance.
Preferred Certifications: CBAP, PMI-PBA, SAFe (POPM or Agilist).