Senior Data Governance Analyst (with AI Enablement) | W2 Only (No OPT's please).

Core Competencies & Technical Skills:
Data Governance & Quality: Strong background in data governance practices data validation and data quality assurance.
Semantic Architecture: Practical experience with semantic layers ontologies and knowledge graphs.
Data Cataloging: Hands-on experience with data catalog tools (specifically Coalesce catalog side).
Technical Stack: Proficient in SQL and Snowflake.
Master Data Management (MDM): MDM experience is highly preferred/desired.
Soft Skills & Business Acumen:
Strong communication skills with a proven ability to collaborate directly with business partners.
Experience with Agile methodology is a plus (trainable if lacking).

Detailed JD:
Your qualifications
Bachelors degree in information systems Data Analytics Computer Science Business Administration Healthcare Administration Statistics or a related field; equivalent experience may be considered.
3 years of experience in data engineering data governance data management data quality analytics business intelligence metadata management knowledge management or related data-focused role.
Experience in the health care industry especially in areas such as Medicare Advantage clinical analytics medical economics quality pharmacy claims provider member or operational data environments is strongly preferred.
Experience with modern knowledge management techniques such as semantic layers ontologies knowledge graphs retrieval-augmented generation AI-assisted documentation or metadata-driven discovery preferred.
Familiarity with modern warehouse and open Lakehouse concepts including cloud object storage open table formats such as Apache Iceberg or Delta Lake metadata catalogs data sharing lineage and governance of structured and semi-structured data.
Familiarity with using AI-assisted tools to improve documentation analysis data discovery metadata quality and governance workflows.
Experience with enterprise data catalog metadata management data lineage business glossary stewardship and/or or report certification practices.
Experience with BI and reporting platforms such as Power BI Tableau SSRS or similar tools.
Experience with CLI tools such as Cortex Code Claude Code or similar.
Experience working in SAFe Agile or another Agile delivery framework.
Preferred certifications include CDMP DGSP DCAM DAMA-related training Snowflake certification Microsoft Power BI certification or relevant Agile/SAFe certifications.
Competencies
Knowledge Management Mindset: Helps organize business meaning definitions relationships ownership and metadata so that enterprise data is easier to find understand govern and reuse.
Business Partnership: Builds trusted relationships with business and technical stakeholders and translates governance data quality and AI-readiness practices into business value.
Analytical Thinking: Uses structured analysis to evaluate data issues identify root causes assess business impact and improve trust in data used for analytics and AI-enabled capabilities.
Governance Discipline: Applies consistent standards for definitions metadata quality rules stewardship lineage and documentation.
Communication: Explains complex data concepts clearly to both technical and non-technical audiences.
Continuous Improvement: Identifies opportunities to improve governance workflows data usability automation AI-assisted documentation and scalable self-service analytics.
Skills & Abilities
Ability to support semantic layer and metrics governance including standardized definitions dimensional concepts hierarchies measure consistency and policy adherence.
Familiarity with knowledge management concepts such as ontologies knowledge graphs taxonomies and domain models.
Ability to translate technical data structures into clear business-aligned definitions and documentation especially via data dictionaries catalog entries report inventories data quality findings and usage context.
Strong SQL skills for data profiling validation reconciliation and issue investigation.
Familiarity with Snowflake Alteryx SQL Server Power BI Tableau SSRS data catalogs modern analytics platforms and open lakehouse concepts such as cloud object storage open table formats metadata catalogs and governed data access.
Ability to work effectively across business analytics data engineering platform stewardship and leadership teams.
Practical understanding of healthcare data domains such as claims membership providers clinical operations pharmacy quality utilization management or finance preferred.
Ability to manage multiple priorities in an Agile environment while maintaining attention to detail.
Awareness of emerging automation AI-assisted documentation data quality monitoring semantic search and governed by self-service analytics capabilities.