Overview As an MMIS Data Architect at Gainwell, you design and govern data architectures for large-scale Medicaid systems, collaborating with cross-functional teams to ensure data is structured, integrated, and validated across MMIS and MES environments. You guide data transformation from legacy MMIS platforms to modern solutions, leveraging AI-assisted automation while upholding governance. You will define and maintain data artifacts and integration patterns, ensuring CMS compliance and operational performance. This role offers growth in a mission-driven, innovation-focused environment with leadership and technical academies.
Compensation / Benefits- generous, flexible vacation policy
- educational assistance
- 401(k) employer match
- comprehensive health benefits
- leadership and technical development academies
- remote work opportunity
Responsibilities- Design and govern MMIS data architectures for data conversion, integration, reporting, and downstream use
- Guide transformation strategies from legacy MMIS to modern solutions ensuring integrity, scalability, and performance
- Leverage AI-assisted automation to accelerate data design, profiling, validation, reconciliation, and documentation while maintaining governance
- Collaborate with converters, architects, analysts, and developers to align designs with target-state architecture
- Create and maintain data architecture artifacts: source-to-target mappings, canonical models, data dictionaries, governance standards
- Ensure data designs meet CMS requirements, audit readiness, reporting needs, and performance expectations
- Define data integration patterns and data flows between MMIS modules, analytics platforms, and external systems
- Coordinate with infrastructure and cloud teams for hosting, security, and performance alignment
Key requirements- 9+ years of experience in data architecture or large-scale data platform design (preferably Medicaid/MMIS/public sector healthcare)
- Experience supporting data conversion or data migration initiatives with source-to-target design and validation
- 3+ years applying AI-assisted or intelligent automation to accelerate data workflows in governed environments
- Foundational understanding of cloud infrastructure and networking (firewalls, routing, storage)
- Experience across SDLC in large, complex implementation programs
- Strong communication skills to explain complex data concepts to technical and non-technical stakeholders
- strong communication
- stakeholder management
- collaboration
- data architecture and governance
- data conversion and integration
- AI-assisted automation for data workflows
