Job Description

Director of Architecture & Data Governance

Onsite in San Antonio, Texas

$150,000 - $190,000 base

An established company entering a new era of innovation is seeking a Director of Architecture & Data Governance to lead the transformation of its data infrastructure and governance from the ground up. This is a high-impact role for a hands-on data leader eager to design and implement scalable frameworks that support enterprise-wide decision-making.

If you're passionate about building modern data ecosystems where none currently exist, influencing enterprise architecture strategy, and ensuring trusted, secure, and well-governed data across the organization-this is your opportunity to own that vision.

What You'll Own

• Define and implement the company's enterprise-wide data architecture and governance strategy
• Design systems that support data lakes, data warehouses, real-time platforms, and emerging analytics tools
• Establish and operationalize governance standards: metadata management, lineage, access controls, quality, and compliance
• Lead data quality initiatives and implement scalable solutions for classification, cataloging, and stewardship
• Partner with cross-functional teams (IT, Operations, Legal, HR, and Executive Leadership) to guide responsible data use and shape data-driven culture
• Advise senior leaders on data risk, compliance, and strategic infrastructure planning
• Opportunity to grow and manage a team over time

What You Bring

• 6-8+ years in data architecture, data governance, or enterprise data management roles
• Experience building and operationalizing data infrastructure and governance frameworks from scratch
• Expertise in Azure or similar cloud-based data environments
• Strong knowledge of data management frameworks and compliance standards
• Familiarity with ETL tools, data cataloging platforms, metadata systems, and security protocols
• Exceptional cross-functional communication skills. You can prove your ability to engage both technical and non-technical stakeholders with clarity and confidence

Preferred Experience

• Exposure to operations-heavy environments with data use cases spanning labor, HR, and supply chain
• Comfort with fast-paced, evolving technical environments and an openness to redefining the tech stack as needed

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