Data Governance Officer (Remote, US)

The Data Governance Officer is responsible for establishing and operating Lumen’s enterprise data governance foundation. This role will define clear roles, accountability, standards, and decision-making mechanisms for data across the enterprise. 

Reporting to the Chief Data Officer, this role operationalizes centralized governance with federated ownership, ensures stewardship for all master data domains, and defines enterprise data architecture direction across platforms and technologies. The Data Governance Officer runs the Enterprise Data Council (EDC) as the authoritative body governing data ownership, standards, architecture direction, and risk. 

This role is accountable for improving the trust, transparency, and consistency of Lumen’s data assets by embedding governance into how the enterprise operates — across Product, Engineering, Network, Security, and functional organizations. The ideal candidate is a disciplined operator who can translate governance principles into durable enterprise mechanisms and ensure governance serves the entire enterprise, not individual teams. 

• Establish and operationalize formal enterprise data governance, including defined roles, decision rights, and accountability.
• Run the Enterprise Data Council (EDC), providing authoritative, enterprise level governance over data ownership, standards, architecture direction, and risk.
• Define and enforce a federated data stewardship model, with data ownership and stewardship residing in the business and centralized standards enabled by the CDO organization.
• Establish and manage master data domains, critical data elements, and ownership accountability across the enterprise.
• Publish and maintain enterprise data quality and governance scorecards to improve trust and transparency of data assets.
• Define and enforce enterprise data standards, including business glossary, modeling practices, and architectural consistency.
• Along with Tech and Engineering, define and co-own enterprise data architecture strategy across platforms, technologies, and functional organizations, reducing ambiguity and fragmentation.
• Manage and mature data governance tooling and processes, including catalog, lineage, and data quality capabilities.
• Ensure governance supports AI governance requirements, including legally responsible, compliant, and defensible AI use, data readiness, control, and trust.
• Partner with Product, Engineering, Network, and Security to ensure governance capabilities are STEP aligned and enterprise serving, enabling consistent outcomes across the company. 

• 15+ years of experience in data, analytics, technology, or architecture leadership, with experience establishing enterprise data governance.
• Proven track record of standing up formal data governance foundations in complex, federated organizations.
• Deep expertise in data ownership models, stewardship, master data, data standards, and enterprise data architecture.
• Experience operating centralized governance with federated ownership, balancing control with business accountability.
• Strong understanding of data quality, metadata, lineage, and governance tooling as operational enablers, not standalone solutions.
• Ability to lead and influence through enterprise councils and governance forums, including executive level stakeholders.
• A clear, structured communicator capable of establishing standards, resolving ambiguity, and driving alignment across platforms and functions.
• Experience supporting enterprise AI governance, including data readiness, control, trust, and compliance.
• Bachelor’s degree required; Master’s degree preferred.