Atlan and MonteCarlo Tools - with experience

• 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.