> Markdown version of [/jobs/ext/2065744-sr-data-governance-lead](https://www.wearedevelopers.com/jobs/ext/2065744-sr-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). --- # Sr. Data Governance Lead - **Company:** Trimble Inc. - **Location:** Lake Oswego, OR, United States - **Experience:** Expert - **Salary:** $144,600.0 - $198,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Cyber Security, Data Governance, Digital Assets, Metadata, Raw Data, Software Safety, Enterprise Data Management, Cloud Platform System, Snowflake, Multi-Agent Systems, Data Lineage, Deployment Automation, Data Management - **Published:** August 15, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88050897/1 ## About the Role * 8+ years of experience in enterprise data management, with 7+ years leading data governance practices in distributed, federated environments. * Proven success establishing operational governance practices, steward enablement networks, and facilitating executive steering bodies. * Demonstrated ability to translate policies into automated pipeline controls, quality gates, and data contracts. * Strong technical fluency with modern data stacks including Snowflake, enterprise catalogs like Atlan, Monte Carlo observability, and dbt. * Exceptional cross-functional leadership skills with a direct, concise, and metric-driven communication style. Bonus Points For: * Hands-on experience contributing data trust inputs to dedicated AI Governance or AI Safety frameworks. * Experience operating within Data Mesh or Data-as-a-Product topologies, alongside exposure to Master Data Management tools like Reltio. * Global enterprise experience across AMER, EMEA, and APAC regions, grounded in DCAM, CDMP, or DAMA-DMBOK v2 frameworks. ## Description Lead the Future of Data Trust as Enterprise Data Governance Principal Lead Shape the operational operating system that turns data governance into active, enterprise-wide trust to accelerate AI, analytics, and digital transformation. In this critical role, you will build and scale a federated governance practice that turns raw data into certified Gold-tier products and drives connected data across Trimble., * Data Quality, Observability, & Data Product Certification: Define enterprise data quality standards, operationalize observability tools, and enforce strict certification criteria for Gold-tier data assets. * AI Governance Contribution & Semantic Trust: Partner with the Enterprise AI Governance team to ensure trusted, privacy-compliant data feeds directly power AI models, RAG pipelines, and agent frameworks. * Metadata, Lineage, & Enterprise Catalog: Drive enterprise data catalog adoption, establish metadata curation standards, and deliver transparent end-to-end data lineage across systems. * Cross Functional Leadership: Partner closely with Legal, Privacy, Information Security, and GRC to ensure governance policies fulfill global regulatory obligations (GDPR, CCPA). Work closely with Cloud Platform and IT teams to embed governance rules into automated deployment pipelines. Enable domain teams in AECO and Field Systems to move fast safely without creating central approval bottlenecks. ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## 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) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)