AuxoAI - Data Governance Specialist

Description: Auxo is looking for a Senior Data Governance Specialist with a strong data engineering foundation to lead and operationalize enterprise-scale data governance programs for our clients. This role is not advisory-only. You will design, implement, and embed governance frameworks directly into modern data platformscovering data quality, cataloging, lineage, and stewardshipworking closely with engineering teams and business stakeholders

Key Responsibilities:

- Define, implement, and operationalize data governance policies, standards, and operating models

- Lead data stewardship programs, partnering with business and data owners to drive adoption

- Configure and manage governance platforms such as Atlan, Collibra, and Monte Carlo

- Build and maintain enterprise data catalogs with metadata, lineage, and discoverability

- Design and enforce data quality rules, monitoring frameworks, and remediation workflows

- Embed governance controls directly into data pipelines and platforms in collaboration with data engineering teams

- Support impact analysis, compliance, and decision-making through strong lineage and metadata practices

Requirements:

Required Skills & Experience:

- Data Governance (Strong Hands-on Experience)

- Data stewardship and ownership frameworks

- Data lineage and impact analysis

- Metadata management and catalog design

- Data quality dimensions, rules, and monitoring frameworks

- Data classification, access controls, and policy enforcement

Governance Platforms:

- Hands-on experience with Atlan, Collibra, or Monte Carlo (at least one mandatory)

Technical Foundation:

- Advanced SQL (complex querying, analysis, troubleshooting)

- Strong understanding of data engineering fundamentals (ETL/ELT, pipelines, data modeling)

- Experience with modern data warehouses, data lakes, and cloud-based data stacks

Preferred Qualifications:

- Experience with GCP (BigQuery, Dataplex) or other major cloud platforms

- DAMA CDMP or equivalent data governance certifications

- Experience working in regulated industries (e.g., Finance, Healthcare)

- Familiarity with dbt, Great Expectations, Soda, or similar data quality frameworks