> Markdown version of [/jobs/ext/2793501-data-governance-lead](https://www.wearedevelopers.com/jobs/ext/2793501-data-governance-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Governance Lead - **Company:** Spectraforce - **Location:** Houston, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Data Cleansing, Data Governance, Data Integration, Identity and Access Management, Metadata, Microsoft SharePoint, Systems Integration - **Published:** September 8, 2026 - **Apply:** http://leoforce.us/Careers/Spectraforce/JobDetails.html?jobid=e6c288f8-1dd5-425d-9094-02dbd121c655&OrgId=1&UserId=4643 ## About the Role * 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. * GCP Integration & Migration: Expertise migrating GCP/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. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)