Sr. Business Analyst, AI & Data

J
JobgetherAI and Data Consulting
Based in BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Experience
6+ years
Required Skills
Artificial IntelligenceBusiness AnalysisMachine LearningJiraAgile methodologiesStakeholder managementConfluenceAzure DevOpsGenerative AI

Requirements

  • 6+ years of experience in business analysis or product development, ideally within data, analytics, technology, or AI-driven environments.
  • 4+ years of experience working in a client-facing consulting environment.
  • Demonstrated ability to facilitate executive interviews, stakeholder workshops, and discovery sessions.
  • Strong ability to transform ambiguous business needs into structured requirements, user stories, process models, and actionable solution concepts.
  • Exceptional written, verbal, and presentation skills.
  • Strong understanding of Agile delivery methodologies.
  • Hands-on experience using AI or Generative AI tools to improve business analysis and client delivery activities.
  • Understanding of data, analytics, AI/ML, GenAI, automation, and their application to business transformation.
  • Familiarity with organizational adoption and change management practices.
  • Strong analytical and problem-solving capabilities.
  • Proven ability to coach and mentor colleagues and contribute to the development of reusable business analysis assets.
  • Strong stakeholder management skills, with the ability to build trust and influence decisions.

Responsibilities

  • Lead executive and stakeholder interviews, workshops, and discovery sessions to uncover root-cause business problems and establish project vision, scope, priorities, and success metrics.
  • Map current-state and future-state value streams and business processes, identifying bottlenecks, inefficiencies, and opportunities for automation or AI augmentation.
  • Elicit, analyze, and document functional and non-functional requirements, user stories, acceptance criteria, business rules, and user journeys for data, AI, ML, and GenAI solutions.
  • Specify AI and model-related requirements, including behavior, guardrails, explainability, human oversight, and performance expectations.
  • Support PoCs, pilots, experimentation, and rollout activities, including test design and UAT oversight.
  • Partner with architects and development teams to ensure solutions address business needs.
  • Use Generative AI tools and agentic technologies to accelerate research, analysis, and documentation.
  • Maintain ownership of business analysis deliverables while coaching and mentoring team members.
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