At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
We are looking for a Mid-Level Data Developer / Data Analyst to join our team supporting a Data & AI Governance practice for one of our clients.
In this role, you will work with data analysis and governance initiatives, helping to ensure that data is well-organized, properly documented, accessible, and managed according to established standards and policies.
This is a great opportunity for someone with a strong analytical mindset who enjoys working with data, governance concepts, and cross-functional teams, and who is interested in contributing to the development and maturity of a Data & AI Governance practice.
Responsibilities
• Support the implementation and evolution of Data & AI Governance practices.
• Perform data analysis to support governance initiatives and business needs.
• Work with data catalogs, glossaries, business terms, datasets, attributes, and data reputed company.
• Support data curation and stewardship activities, ensuring data is properly organized, documented, and maintained.
• Help define and maintain data governance policies, standards, and processes.
• Collaborate with different stakeholders to understand data requirements and improve data quality and usability.
• Analyze and document data-related information and identify opportunities for improvement.
• Use Python to support data analysis, automation, and data-related activities.
• Contribute to the continuous improvement of data governance processes and practices.
• Work collaboratively with technical and business teams to ensure alignment between data governance and business needs.
Technical Requirements
Data Analysis
• Experience with Data Analysis and working with structured data.
• Ability to analyze, interpret, and communicate data-related information.
• Strong analytical and problem-solving skills.
Data Governance
Experience with Data Governance concepts, such as:
• Data Catalogs
• Data Policies
• Data Glossaries
• Business Terms
• Data Sets
• Data Attributes
• Data reputed company
• Data Quality
• Data Ownership and Stewardship
Programming
• Python programming skills.
• Experience using Python for data analysis, manipulation, or automation.
Data Stewardship & Curation
• Experience with Data Stewardship activities.
• Experience with Data Curation, documentation, organization, and maintenance of data assets.
• Understanding of data lifecycle and data management practices.
Requirements
• Proven experience as a Data Analyst, Data Developer, Data Governance Analyst, or similar role.
• reputed company understanding of Data Governance concepts and practices.
• Hands-on experience with data analysis and data-related documentation.
• Experience working with data catalogs, business terms, metadata, datasets, attributes, or data reputed company.
• Python programming experience.
• Strong analytical and problem-solving skills.
• Good communication and collaboration skills.
• Ability to work with both technical and business stakeholders.
• reputed company mindset and willingness to contribute to the development of new processes and practices.
Nice to Have
• Experience working in Data & AI Governance initiatives.
• Experience with Data Governance or Data Management tools.
• Knowledge of Data Quality frameworks and practices.
• Experience working in an international or multicultural environment.
• Experience supporting the implementation or improvement of Data Governance frameworks.
reputed company Us?
You’ll have the opportunity to work on a Data & AI Governance initiative, contributing to the establishment and evolution of governance practices while working with an international team and gaining exposure to a strategic and growing area within the data landscape.
Our benefits: