Enterprise AI Data Architect & Strategy Lead - Equity

Unanet, Inc.; Virginia (MN); On-site; USD 170,000 - 200,000; Full time

Benefits offered by this job

Employee equity

Discretionary bonus

Job summary

Unanet, Inc. seeks an Enterprise AI Data Strategist to lead the internal data strategy and architecture for AI transformation. You will define a practical data foundation, set a roadmap, and coordinate cross-team work to implement a scalable AI-ready data platform.

The role blends strategy with hands-on execution and requires turning governance and security considerations into usable data solutions. You will partner with IT, Security, Finance, and product teams, establishing standards,

Qualifications

• Deep knowledge of how to design data and knowledge foundations for enterprise AI using structured and unstructured data.
• Strong understanding of how AI assistants, agents, and workflows use enterprise data, including retrieval, grounding, context, identity, metadata, and permissions.
• Practical knowledge of cloud data platforms, integration, data modeling, data quality, governance, lineage, freshness, and monitoring.

Responsibilities

• Define a clear, practical strategy for the internal data foundation needed to support Unanet's AI strategy.
• Assess the current data environment and turn the most important gaps into a prioritized roadmap with clear owners, dependencies, and outcomes.
• Use priority AI initiatives to test the architecture, improve the roadmap, and develop approaches that other teams can reuse.
• Define how internal data should be organized, connected, secured, and made available to AI tools, agents, and workflows.
• Set standards for data access, permissions, integration, compatibility, and reuse.

Skills

Data architecture

Data governance

Cloud data platforms

Stakeholder influence

Clear communication

Job description

Unanet, Inc. seeks an Enterprise AI Data Strategist to lead the internal data strategy and architecture for AI transformation. You will define a practical data foundation, set a roadmap, and coordinate cross-team work to implement a scalable AI-ready data platform.

The role blends strategy with hands-on execution and requires turning governance and security considerations into usable data solutions. You will partner with IT, Security, Finance, and product teams, establishing standards,