Senior Data Governance Analyst
Summary
Design and enforce data governance policies, automate metadata tagging with AI tools, and ensure compliance for AWS-hosted data assets.
What is this position about?
- Execute and support enterprise Data Governance initiatives and governance processes end to end
- Create and maintain governance documentation, standards, and procedures
- Perform data analysis and data profiling to identify quality issues and opportunities for improvement
- Assist with metadata management activities, including documenting and maintaining business and technical metadata
- Leverage AI-powered data governance tools to automate data classification and tagging, identify sensitive or non-compliant data, and support governance workflows
- Monitor data assets for compliance with governance policies, identifying potential violations and recommending corrective actions
- Support the implementation and validation of AI-assisted data retention, archival, and lifecycle management policies
- Validate data governance controls and ensure compliance with established governance policies and regulatory requirements
- Document business definitions, data rules, and governance requirements in collaboration with business stakeholders
- Support data stewardship activities and contribute to improving data quality across critical data domains
- Collaborate with cross-functional teams to gather requirements and translate business needs into governance documentation
- Monitor governance activities and contribute to continuous process improvements
- Communicate governance updates, findings, and recommendations effectively to both technical and non-technical stakeholders
- Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Business, or a related field.
- Approximately 3+ years of experience in Data Governance, Data Management, Business/Data Analysis, or related areas.
- Experience with data governance platforms such as Atlan, Collibra, Alation, or similar governance workflow and metadata management tools.
- Experience in PII discovery and confidence scoring (required)
- Experience with data masking through AI agents (required)
- Hands-on AWS experience, including S3, cleanup processes, Glue, AgentCore, and Lambda functions (required)
- Knowledge of CoCo and Cortex is a plus
What about languages?
- Advanced English (written and verbal) preferred.
How much experience must I have?
- Approximately 3+ years of professional experience in Data Governance, Data Analysis, Business Analysis, Data Management, or related disciplines.
Our perks and benefits:
📚 Learning Opportunities:
- Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
- Access to AI learning paths to stay up to date with the latest technologies.
- Study plans, courses, and additional certifications tailored to your role.
- Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
- English lessons to support your professional communication.
👨🏽💻 Travel opportunities to attend industry conferences and meet clients.
👩🏫 Mentoring and Development:
- Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support:
- Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
- Company-provided equipment.
⚖️ Flexible working options to help you strike the right balance.
🏥 Statutory Benefits:
- Social security coverage (IMSS).
- Christmas bonus (Aguinaldo) as per Mexican law.
- Vacation premium (Prima Vacacional).
- Remote work bonus.
- Paid leaves as per Federal Labor Law (LFT).
- Additional benefits as required by Mexican labor regulations.
Other benefits may vary. For detailed information, please consult with one of our recruiters.