Motriz

Artificial Intelligence

• Structure and oversee institutional digital culture and technology projects, organizing timelines, owners, deliverables, milestones, and metrics
• Organize project tracking and present progress, risks, and recommendations to the People team, leaders, and executive management
• Identify risks, dependencies, and challenges that may affect deliverables, proposing courses of action and following up on next steps
• Support the analysis and advancement of Technology and Innovation initiatives, connecting business-area challenges with viable solutions
• Monitor trends and best practices in artificial intelligence, automation, and digital culture, translating them into practical applications
• Promote the responsible use of technology and AI, taking information security, privacy, ethics, and deliverable quality into account
• Plan, prepare, and deliver training sessions and workshops on artificial intelligence, technology, and digital culture
• Adapt technical content into clear, practical language for different audiences
• Serve as a liaison between the People team, technical areas, and leadership, connecting priorities, roles, and deliverables
• Develop communication and engagement initiatives to strengthen digital culture
• Handle strategic and sensitive information with confidentiality, responsibility, and sound judgment
• Serve as the PMO within the People team, structuring, prioritizing, and monitoring the portfolio of initiatives while supporting the responsible adoption of AI

Artificial Intelligence Specialist – Projects

Data Analyst

• Develop, maintain, and optimize ETL/ELT pipelines for ingesting, transforming, and delivering data from multiple sources.
• Model and manage data in Google BigQuery and other data environments, with a focus on performance, cost, and the organization of data layers.
• Write complex and efficient SQL queries for data transformation, validation, and analysis.
• Integrate and maintain PostgreSQL and NoSQL databases, ensuring consistency across environments.
• Automate processing and data-loading routines using Python.
• Implement data quality controls, pipeline monitoring, and failure handling.
• Document data flows, models, and business rules.
• Support analytics and product teams in making data available for dashboards and key performance indicators.
• Safeguard data security and privacy in compliance with Brazil’s LGPD data protection law.
• Design, develop, and maintain data pipelines that integrate information from different education networks and systems, ensuring quality, traceability, and availability for analytics, product, and management teams.

Artificial Intelligence Specialist – Projects

Mid-Level/Senior Data Analyst