Lead MMIS Data Architect

Gainwell Technologies LLC•Any city, OH

30d•$118,800 - $169,700•Remote

About The Position

As an MMIS Data Architect at Gainwell, you will design and govern data architectures supporting large-scale Medicaid system implementations and modernizations. You will partner with conversion teams, application architects, analysts, developers, and state clients to ensure data is structured, integrated, validated, and optimized across MMIS and modular Medicaid Enterprise (MES) environments. The role focuses on defining architecture standards and strategies for data conversion, integration, reporting, and operational use. You will develop and maintain architecture artifacts, establish integration patterns and data flows, and ensure designs meet CMS requirements, audit readiness, reporting needs, and performance expectations. You will also use AI-assisted and intelligent automation techniques to accelerate data workflows while maintaining governance and human review, and collaborate with infrastructure and cloud teams on hosting, security, and performance alignment.

Requirements

At least 9 years of experience in data architecture or large-scale data platform design; Medicaid, MMIS, or public sector healthcare experience is preferred.
Experience supporting data conversion or data migration initiatives, including source-to-target design and validation strategies.
At least 3 years of experience applying AI-assisted or intelligent automation capabilities to accelerate data workflows in governed enterprise environments.
Foundational understanding of cloud infrastructure and cloud networking protocols, including firewalls, routing, and network storage.
Experience working across the full software development life cycle (SDLC) in large, complex implementation programs.
Strong communication skills and the ability to explain complex data concepts to technical and non-technical stakeholders.

Nice To Haves

Experience in Medicaid, MMIS, or public sector healthcare systems.

Responsibilities

Design and define MMIS data architecture standards for data conversion, integration, reporting, and downstream operational use.
Guide data transformation strategies for moving from legacy MMIS platforms to modern solutions while ensuring integrity, scalability, and performance.
Use AI-assisted and intelligent automation techniques to accelerate data design, profiling, validation, reconciliation, and documentation workflows while maintaining governance and human review.
Collaborate with data conversion managers, architects, analysts, and developers to align conversion design with target-state architecture.
Establish and maintain data architecture artifacts, including source-to-target mappings, canonical models, data dictionaries, and governance standards.
Ensure data designs support CMS requirements, audit readiness, reporting needs, and operational performance expectations.
Define integration patterns and data flows between MMIS modules, analytics platforms, and external systems.
Partner with infrastructure and cloud teams to align with hosting, security, and performance standards.