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Dadoteca

Product Owner – Digital Health, Data & AI Products

Dadoteca

Product Owner responsible for bridging business, technology, and user experience in digital health initiatives. Working on applications and solutions that enhance healthcare through data and innovation.

Posted 7/7/2026full-timeRio de Janeiro • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product ownership and management within digital health and technology sectors, focusing on defining product vision, managing backlogs, and ensuring alignment with user needs and business goals. Proficient in agile methodologies and capable of translating complex requirements into actionable deliverables while driving continuous value and innovation.

Highest-signal resume keywords
Product OwnershipAgile MethodologiesData & AI ProjectsProduct Management ToolsDigital Health Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Product Vision DefinitionBacklog ManagementFunctional Requirements SpecificationAcceptance TestingMetrics AnalysisUser Journey MappingKPI DefinitionMachine LearningAutomationAnalytics
Soft Skills
Stakeholder EngagementData-Driven Decision MakingUser-Centric FocusCollaborationProblem Solving
Tools & Technologies
JiraConfluenceTrelloAzure DevOpsAPIsCloud ServicesDigital Solution Architectures
Industry Keywords
Digital HealthHealth ApplicationsHealthtechConsultanciesDigital Transformation

Tech Stack

Tools & technologies
AzureCloudSDLC

About the role

Key responsibilities & impact
  • Act as the product owner, defining the product vision, strategy and roadmap together with internal stakeholders, clients and business areas.
  • Prioritize and manage the product backlog, aligning business demands, user needs, technical feasibility and value generation.
  • Specify functional and technical requirements for digital products, health applications, data platforms, AI solutions, automation and analytics.
  • Work closely with development, UX, QA, data, data engineering, data science and AI teams, ensuring deliveries meet acceptance criteria.
  • Contribute to the design and evolution of products that use LLMs, Machine Learning models, analytics, BI, APIs, cloud services and intelligent automations.
  • Perform acceptance testing, user validations, metrics monitoring and product performance analysis.
  • Support discovery processes, user journey mapping, identification of pain points and definition of digital solutions focused on experience, usability and business impact.
  • Ensure continuous delivery of value with a focus on the customer, innovation, scalability, security and quality.
  • Oversee the full product lifecycle, from conception, discovery and development to launch, adoption, metrics and post-launch improvements.
  • Work on digital health projects, applications, management platforms, data products, AI applied to healthcare and decision-support solutions.

Requirements

What you’ll need
  • Proven experience as a Product Owner, Product Manager or Product Lead in technology companies, digital health, consultancies or digital transformation environments.
  • Experience with health projects or products, health applications, digital platforms for payers, hospitals, clinics, healthtechs or related areas.
  • Experience in Data & AI projects, analytics, BI, automation, Machine Learning or solutions that use LLMs.
  • Strong knowledge of agile methodologies such as Scrum, Kanban and/or SAFe.
  • Experience with product and backlog management tools like Jira, Confluence, Trello, Azure DevOps or similar.
  • Familiarity with software development cycles (SDLC), APIs, integrations, cloud and digital solution architectures.
  • Sufficient technical understanding to engage with development, data, engineering, data science, AI and architecture squads.
  • Ability to analyze metrics, define KPIs, track indicators and make data-driven decisions.
  • Capacity to translate business needs and user pain points into clear requirements, user stories, acceptance criteria and prioritized deliverables.

Benefits

Comp & perks
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