Enterprise Data Architect, Data Governance & Information Architecture

The Principal Enterprise Data Architect is responsible for establishing and executing the enterprise data architecture strategy required to enable secure, governed, and scalable AI adoption across the organization.

This role will serve as the enterprise authority for data architecture, data governance, data classification, metadata management, data lineage, information protection, data segmentation, and AI data readiness. The architect will lead the transformation of the organization’s data landscape to ensure enterprise information is discoverable, trusted, appropriately governed, and ready for consumption by advanced analytics, machine learning, generative AI, intelligent agents, and future AI-driven business capabilities.

The successful candidate will design and implement the enterprise framework that provides visibility into what data exists, where it originates, how it moves throughout the organization, who owns it, who has access to it, and how it should be classified, protected, and governed throughout its lifecycle.

This individual will partner closely with Enterprise Architecture, Cybersecurity, Data & Analytics, Infrastructure, Application Development, Risk, Compliance, Legal, and Business Leadership teams to establish the organization’s “gold standard” for enterprise data architecture and AI readiness.

Key Responsibilities

• Define and maintain enterprise data governance, information architecture, and data management standards.
• Establish data classification, protection, privacy, retention, and lifecycle management practices.
• Lead initiatives focused on data quality, metadata management, lineage, stewardship, and master data management.
• Partner with business, security, compliance, and technology teams to mitigate data risk and ensure regulatory compliance.
• Develop data strategies, reference architectures, governance processes, and best practices that improve the value and trustworthiness of enterprise data.
• Provide leadership, education, and executive guidance on data governance, information management, and data-driven decision making.

DataArchitect Data Modeling Tool, Information Architecture, Enterprise Architecture, Artificial Intelligence (AI), DataArchitect Data Modeling Tool, Enterprise Architecture, Adoption, Machine Learning, Metadata, Software Agents, * Bachelor’s degree in Information Technology, Computer Science, Information Systems, Data Management, or a related field.

• 8+ years of experience in Enterprise Data Architecture, Data Governance, Information Management, or related disciplines.
• Strong knowledge of data governance, data quality, metadata management, data classification, privacy, security, and regulatory compliance.
• Experience leading enterprise-wide governance initiatives and collaborating with executive stakeholders.
• Excellent communication, leadership, and relationship management skills.

Preferred Qualifications

• Master’s degree or relevant industry certifications.
• Experience with cloud data platforms, enterprise data management tools, and modern analytics environments.
• Familiarity with data governance frameworks such as DAMA-DMBOK, NIST, ISO 27001, and privacy regulations.
• Experience supporting AI, analytics, and digital transformation programs through strong data governance and information management practices.