Overview
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking a Senior Data Governance Analyst to contribute to our next level of growth and expansion.
Full job description
About the company
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
We are seeking a Senior Data Governance Analyst to contribute to our next level of growth and expansion.
Full job description
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
Qualifications and requirements
- 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.
Additional information
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.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.
Requirements & qualifications
- 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.
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Verification notes
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