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Business Analyst - Data

Brown & Brown

$80,000 - $100,000
Sep 15, 2025
Remote, US
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Brown & Brown is seeking a Business Analyst – AI to support the successful delivery of AI initiatives by identifying business needs, translating them into actionable requirements, and collaborating with cross-functional teams to ensure solutions deliver measurable value.

Requirements

  • 3–5 years of experience in business analysis or product ownership, with exposure to AI, ML, or advanced analytics projects.
  • Strong understanding of AI solution lifecycle and data-driven decision-making.
  • Experience working in Agile environments and using tools like JIRA, Confluence, and Power BI.
  • Ability to translate complex technical concepts into business-friendly language.
  • Proficiency in Microsoft Office Suite.
  • Experience with cloud platforms (Azure, AWS, GCP) and MLOps practices.
  • Familiarity with data governance and responsible AI principles.

Responsibilities

  • Document functional and non-functional requirements for AI models, data pipelines, and interfaces.
  • Collaborate with data scientists, engineers, and product managers to validate feasibility and scope.
  • Support backlog grooming, sprint planning, and user acceptance testing (UAT).
  • Work with data teams to identify relevant data sources and assess data quality.
  • Understand the lifecycle of AI models, including training, validation, deployment, and monitoring.
  • Assist in defining success metrics and performance benchmarks for AI solutions.
  • Track progress against milestones and ensure timely delivery of business analysis artifacts.

Other

  • Partner with stakeholders to identify and define AI use cases aligned with strategic goals.
  • Translate business challenges into clear problem statements and solution requirements.
  • Facilitate workshops, interviews, and working sessions to gather insights and feedback.
  • Prepare and deliver clear documentation, reports, and presentations for technical and non-technical audiences.
  • Manage stakeholder expectations and ensure alignment throughout the project lifecycle.