> Markdown version of [/jobs/ext/2185892-data-governance-lead](https://www.wearedevelopers.com/jobs/ext/2185892-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:** NetApp, Inc. - **Location:** Morrisville, NC, United States - **Experience:** Expert - **Salary:** $170,000.0 - $253,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Business Software, Information Systems, Data Governance, Metadata, Meta-Data Management, Cloud Services, Salesforce.Com, SAP CRM, Data Streaming, Enterprise Software Applications, Snowflake, Information Technology, Data Management, Oracle Cloud Infrastructure - **Published:** August 22, 2026 - **Apply:** https://jobs.netapp.com/talentcommunity/apply/1402049500/?locale=en_US ## About the Role The role requires broad business and technology acumen, with the ability to quickly understand both technical and business contexts and speak with credibility across functions. The Data Governance Lead will connect governance practices to operational excellence, trusted analytics, and effective business application outcomes while coaching stakeholders, encouraging adoption, and leading through influence rather than formal authority. Experience in a product-centric technology infrastructure sector or another complex global environment is strongly preferred. If you have a passion for data, leadership skills, and a desire to make a significant impact, join us and be a part of something truly exciting., * Stakeholder Leadership: Demonstrated success building trust, influencing decisions, facilitating alignment, and managing diverse stakeholders across business and technology organizations. * Communication and Evangelism: Exceptional written, verbal, presentation, and facilitation skills, with the ability to make complex concepts accessible and motivate adoption at all organizational levels. * Coaching and Community Enablement: Experience training, guiding, coaching, and mentoring a geographically distributed stewardship community, including developing playbooks, learning materials, and repeatable forums. * Leadership Without Formal Authority: Proven ability to lead cross-functional initiatives, navigate ambiguity, resolve conflict, and sustain accountability through influence. * Business and Technology Acumen: Sufficient breadth to quickly understand business processes, application landscapes, data flows, analytics use cases, integration patterns, and technical constraints, and to speak with authority in both contexts. * Analytics and Business Applications: Experience supporting governed data for reporting, analytics, operational decision-making, and enterprise business applications. * Governance and Metadata Practices: Working knowledge of stewardship operating models, data quality, business glossaries, metadata, lineage, controls, policies, standards, and issue management. * Enterprise Platform Experience: Prior experience with one or more of Oracle Cloud ERP, Salesforce, SAP CRM, Snowflake, or metadata management platforms is strongly desired. * Ways of Working: Highly organized, flexible, and hands-on, with a tactile approach to turning strategy into practical deliverables and measurable outcomes., * Professional Experience: 10-15 years of progressive experience in data governance, data management, analytics enablement, enterprise applications, business transformation, or a related field within complex global organizations. * Education: Bachelor's degree in business, information systems, data management, computer science, engineering, or a related field required; advanced degree preferred. * Certifications: Relevant certifications in data governance, analytics, metadata management, cloud data platforms, change leadership, or enterprise applications preferred. * Join us to combine data, technology, communication, and people leadership to improve business outcomes through practical, trusted, and widely adopted data governance. ## Description * Enterprise Governance Execution: Implement and continuously improve practical governance processes that strengthen business operations, analytics, reporting, AI readiness, and application outcomes. * Business Application and Analytics Enablement: Partner with application owners, analytics teams, data engineers, and business leaders to embed governance requirements into platforms, integrations, reporting solutions, and decision-making processes. * Stewardship Community Leadership: Guide, coach, train, and mentor a distributed community of data owners and stewards; clarify roles, reinforce accountability, and create reusable practices that enable consistent execution. * Stakeholder Management and Influence: Build trusted relationships across functions and levels, facilitate alignment, resolve competing priorities, and lead outcomes without formal authority. * Communication and Evangelism: Communicate governance concepts in clear business language, develop compelling messages and learning materials, and champion the value of trusted data throughout the organization. * Policy, Standards, and Metadata: Apply and evolve enterprise policies, standards, business glossaries, metadata, lineage, controls, stewardship roles, and approval workflows across critical data and applications. * Data Quality and Continuous Improvement: Lead the definition of data quality rules and measures, facilitate root-cause analysis and remediation, and use evidence to improve end-to-end processes and adoption. * Cross-Functional Advisory: Serve as a credible advisor who can rapidly grasp business needs and technical architectures, identify practical tradeoffs, and guide teams toward scalable, sustainable solutions. ## Related Videos - [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) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Headless by Design: Building Enterprise Systems That Agents Can Actually Use](https://www.wearedevelopers.com/videos/100092-headless-by-design-building-enterprise-systems-that-agents-can-actually-use) - [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) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [How One Developer Built the Back Office for 10 Million Companies](https://www.wearedevelopers.com/videos/100082-how-one-developer-built-the-back-office-for-10-million-companies) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)