Product Owner Sênior - Foco em IA e Automação

J
JobgetherTechnology
BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Experience
Minimum of 3 years of professional experience
Required Skills
SQLArtificial IntelligenceBusiness AnalysisMachine LearningAgile methodologiesStakeholder managementGenerative AIData analytics

Requirements

  • Minimum of 3 years of professional experience in Business Analysis, Process Analysis, Product Ownership, or similar roles.
  • Experience mapping business processes and identifying opportunities for improvement.
  • Ability to translate complex business requirements into structured documentation, including user stories and functional specifications.
  • Solid conceptual knowledge of Artificial Intelligence, Machine Learning, Data Analytics, and/or Robotic Process Automation (RPA).
  • Strong communication, negotiation, and stakeholder management skills.
  • Ability to act as a translator between technical teams and business areas.
  • Analytical and structured problem-solving mindset.
  • Proactive attitude, curiosity, and interest in learning about new technologies and their business applications.
  • Experience with Generative AI projects, Large Language Models (LLMs), or conversational agents is desirable.
  • Familiarity with Agile methodologies such as Scrum and Kanban is desirable.
  • Basic knowledge of SQL for database queries is desirable.
  • Certifications in Business Analysis or Project Management are considered a plus.

Responsibilities

  • Act as the main point of contact between business areas and technical teams for AI, Data, and automation initiatives.
  • Conduct interviews and workshops to understand processes, identify pain points, and discover optimization opportunities.
  • Translate business requirements into clear technical and functional specifications for specialized teams.
  • Collaborate with data scientists, AI engineers, and developers to define feasible and effective solutions.
  • Validate technical feasibility and ensure alignment between business expectations and implementation capabilities.
  • Support prioritization of demands and management of AI and automation project backlogs.
  • Monitor solution development and implementation, ensuring alignment with initial requirements and expected outcomes.
  • Communicate project progress, results, and insights effectively to technical and business stakeholders.
  • Contribute to continuous improvement of processes through the adoption of AI and automation opportunities.
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