Senior Data Governance Analyst

Blend; Santiago; Presencial; CLP 36.000.000 - 64.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS certifications

Databricks training

Snowflake access

Udemy Business access

English lessons

Descripción de la vacante

Blend is seeking a Senior Data Governance Analyst to drive enterprise data governance initiatives, document standards, and support AI-powered governance workflows across data assets. You will perform data profiling, metadata management, and collaborate with cross‑functional teams to translate business needs into governance artifacts.

You will monitor compliance with policies, support retention and lifecycle programs, and help ensure data quality across critical domains.

Formación

• 3+ years of experience in Data Governance, Data Management, or related areas.
• Experience with data governance platforms such as Atlan, Collibra, Alation.
• Experience with PII discovery and confidence scoring.
• Experience with data masking through AI agents.
• Hands-on AWS experience (S3, Glue, Lambda).

Responsabilidades

• 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.

Conocimientos

Data governance

Data management

Data analysis

Business analysis

Stakeholder communication

Educación

Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Business, or a related field

Herramientas

Atlan

Collibra

Alation

AWS (S3, Glue, Lambda)

Descripción del empleo

Job Description

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.

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

• 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

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

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.