Job description

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary 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. Your role in our mission • Design and define MMIS data architecture standards supporting data conversion, integration, reporting, and downstream operational use. • Guide data transformation strategies from legacy MMIS platforms to modern solutions ensuring integrity, scalability, and performance. • Leverage AI-assisted and intelligent automation techniques to accelerate data design, profiling, validation, reconciliation, and documentation workflows while maintaining strong 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 ensure alignment with hosting, security, and performance standards. What we're looking for • 9+ years of experience in data architecture or large-scale data platform design, preferably within Medicaid, MMIS, or public sector healthcare systems. • Experience supporting data conversion or data migration initiatives, including source-to-target design and validation strategies. • 3+ years of experience applying AI-assisted or intelligent automation capabilities to accelerate data workflows within 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 with the ability to explain complex data concepts to technical and non-technical stakeholders. What you should expect in this role • United States remote opportunity • Video cameras must be used during all interviews, as well as during the initial week of orientation • The Deadline to submit applications for this posting is November 16, 2026 The pay range for this position is $118,800.00 - $169,700.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits , and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines “wages” and “wage rates” to include “all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

Requirements

Must-haves

Your role in our mission
Design and define MMIS data architecture standards supporting data conversion, integration, reporting, and downstream operational use.
Guide data transformation strategies from legacy MMIS platforms to modern solutions ensuring integrity, scalability, and performance.
Leverage AI-assisted and intelligent automation techniques to accelerate data design, profiling, validation, reconciliation, and documentation workflows while maintaining strong 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 ensure alignment with hosting, security, and performance standards.
9+ years of experience in data architecture or large-scale data platform design, preferably within Medicaid, MMIS, or public sector healthcare systems.
Experience supporting data conversion or data migration initiatives, including source-to-target design and validation strategies.
3+ years of experience applying AI-assisted or intelligent automation capabilities to accelerate data workflows within 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 with the ability to explain complex data concepts to technical and non-technical stakeholders.
What you should expect in this role
United States remote opportunity
Video cameras must be used during all interviews, as well as during the initial week of orientation
The Deadline to submit applications for this posting is November 16, 2026

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: successfactors
Effort: medium

Benefits

Benefits detected in the listing.

401(K)