AI-Driven Data & Risk BA – Roadmaps & Stakeholders

QualityAI

Argentina

Sur place

ARS 1 000 000 - 1 500 000

Plein temps

Il y a 18 heures
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Avantages offerts par ce poste

International mobility
Tech academy

Résumé du poste

QualityAI is seeking a seasoned Business Analyst to join the Data Security & Risk team in Argentina or Mexico. The role partners with business stakeholders and IT leadership to drive strategic data initiatives and enhance security processes for AI-enabled solutions.

Responsibilities include translating business needs into clear requirements, managing backlogs, and delivering data-focused solutions while balancing technical and business priorities.

Qualifications

  • 5 to 7 years of experience as a Business Analyst.
  • Strong experience supporting data-related projects.
  • Demonstrated interest in and exposure to AI technologies and use cases.
  • Excellent communication, stakeholder management, and requirement-gathering skills.
  • Proven ability to work effectively with both technical and business teams in complex environments.

Responsabilités

  • Define and execute product and project roadmaps with stakeholders and IT leadership.
  • Gather, analyze, and translate business needs into requirements, user stories, and acceptance criteria.
  • Drive initiatives from concept through implementation, aligning with business objectives.
  • Prioritize deliverables, identify risks, and manage milestones.
  • Bridge business and technology teams to deliver data-focused solutions.

Connaissances

Business Analysis
Data Analytics
Stakeholder Management
Requirements Gathering
AI Awareness

Outils

Agile Methodologies
Product Roadmaps
Jira

Description du poste

QualityAI is seeking a seasoned Business Analyst to join the Data Security & Risk team in Argentina or Mexico. The role partners with business stakeholders and IT leadership to drive strategic data initiatives and enhance security processes for AI-enabled solutions.

Responsibilities include translating business needs into clear requirements, managing backlogs, and delivering data-focused solutions while balancing technical and business priorities.

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