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Why this grade
This listing scored 27/100, which is an F. It lost the most ground on pay transparency.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
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.
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.
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 SeniorData Governance Analyst to contribute to our next level of growth and expansion.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 09 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.