Proven experience operationalizing Data Governance frameworks, updating runbooks, and integrating Data & AI standards.
Ability to define data asset certification processes, enhance governance structures, and align domain/sub domain models with access management.
Skilled in formalizing and enabling Data Owner, Data Steward, and Technical Owner roles, including developing role definitions and delivering training.
Hands on experience with Atlan and Monte Carlo for configuration, integrations, lineage build out, data quality monitoring, and issue remediation workflows.
Ability to assess and improve AI/analytics tool interoperability, prioritize integrations, and establish standards aligned access and permissions.
Strong capabilities in data quality reporting, KPI creation, root cause analysis, and ongoing governance compliance reporting (including Data Health Score formulas).
Experience building and maintaining governance content hubs (e.g., SharePoint) and driving community engagement through training and enablement.
Strong communication and facilitation skills to advise and consult teams on Data Governance best practices, standards adoption, and appropriate use of data tools.
Experience supporting enterprise wide Data Governance initiatives, including standards harmonization, cross domain alignment, and coordination across business and technical teams.
(Preferred) Familiarity with agentic AI for data cleansing, metadata improvement, and prototype/MVP delivery.
Workflow & Playbook Automation: Ability to automate governance tasks using Atlan s API driven playbooks (e.g., bulk tagging, glossary propagation, asset certification).
Automated Metadata Enrichment: Experience using Atlan AI and agentic workflows to automate descriptions, README creation, and metadata suggestions.
Google Cloud Platform Integration & Migration: Expertise migrating Google Cloud Platform/BigQuery tags into Atlan and automating the identification/prioritization of assets for ingestion.
End to End Lineage Automation: Skilled in defining methods and building lineage across diverse tool stacks, including systems without native integrations.
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