Technical Solution Architect

Role Responsibilities Help shape and maintain solution architecture guidance across applications, integration, data, security, reporting, analytics, cloud, and operational components. Translate business outcomes and user needs into practical technical architectural options, technical guidance, and implementation decisions. Ensure that technical solution architectures are aligned with the desired experience and business vision and architecture, enable constituent/agency objectives and outcomes, and are performant, scalable, and extensible/flexible. Collaborate with experience architects and product managers to formulate and adapt technical strategies, architectures, and roadmaps to support iterative, agile, people centered product development. Review vendor solution architecture, technical design, development, and migration deliverables for alignment with the product/project strategies, roadmap, and outcomes, Commonwealth standards, security requirements, accessibility expectations, and implementation feasibility. Partner with EOTSS, A&F IT, product, experience design, business, data, security, accessibility, legal, and vendor teams to resolve technical design decisions and ensure the solution remains aligned with the Commonwealth’s long-term vision, standards, and best practices. Advice on the balance of configurable product capabilities, custom development, integration services, data architecture, and modular platform components needed to deliver the EPIC vision. Collaborate hands on as needed with internal teams and vendors to solve technical challenges including working on technical prototypes and proofs of concepts. Support phased-release planning by identifying dependencies, technical constraints, architectural risks, transition needs, and opportunities for incremental value delivery. Guide integration planning with legacy systems, the Commonwealth’s accounting and financial systems, vendor sales reporting systems, identity/access management, reporting platforms, and other relevant systems. Support legacy-system migration planning, including data mapping, data cleansing, data transformation, document migration, cutover planning, and validation approaches. Promote consistent documentation, architecture decision records, peer review, quality practices, automated testing, security-by-design, and maintainable solution patterns. Evaluate AI-enabled, automation, analytics, and development capabilities approved through project governance, privacy, security, accessibility, and applicable legal review. Help the project team understand technical tradeoffs, communicate architecture decisions clearly, and make choices that support long-term flexibility, maintainability, and value. Minimum Qualifications Eight or more years of experience in IT delivery, systems implementation, software engineering, enterprise technology, or technology architecture. Five or more years as a technical solution architect, enterprise architect, technical lead, engineering lead, or similar role on complex enterprise systems. Five or more years experience working with cross-functional product teams applying an iterative, agile, people-centered product design and development approach. Experience translating business goals, user needs, and policy or operational requirements into practical architecture and technical guidance. Experience with cloud-based enterprise applications, modern integration approaches, APIs, data migration, security controls, accessibility considerations, and phased implementation. Experience reviewing vendor technical designs, development approaches, and implementation deliverables for feasibility, quality, security, maintainability, and alignment with business outcomes. Experience using or evaluating generative AI or AI-assisted tools to support requirements analysis, design review, documentation, development practices, testing, code review, data migration, or technical quality assurance. Strong written, verbal, facilitation, analytical, and stakeholder-management skills. Ability to work across business and technical teams, communicate tradeoffs clearly, and build alignment in a complex project environment. Preferred Qualifications Experience with public-sector, procurement, ERP, financial, grants, licensing, permitting, benefits, or other workflow-heavy enterprise platforms. Experience helping organizations modernize from legacy systems to cloud-based or modular platforms. Experience with data mapping, data cleansing, data governance, reporting, analytics, and migration to modern platforms. Familiarity with FedRAMP, NIST, Commonwealth security requirements, privacy controls, accessibility, records retention, and public-sector governance. Experience with Agile or hybrid delivery models, phased rollouts, test strategy, automated testing, performance testing, operational readiness, and transition planning. Experience evaluating AI-enabled capabilities, automation, analytics, reporting, search, or decision-support features in a governed enterprise environment. Experience designing or guiding systems that must serve multiple user communities, including internal operators, external business users, oversight users, and the public. Ability to challenge conventional approaches constructively and identify opportunities to build a more flexible, intuitive, and sustainable solution. EEO:- Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans

Eight or more years of experience in IT delivery, systems implementation, software engineering,

enterprise technology, or technology architecture.

Five or more years as a technical solution architect, enterprise architect, technical lead,

engineering lead, or similar role on complex enterprise systems.

Five or more years experience working with cross-functional product teams applying an iterative,

agile, people-centered product design and development approach.

Experience translating business goals, user needs, and policy or operational requirements into

practical architecture and technical guidance.

Experience with cloud-based enterprise applications, modern integration approaches, APIs, data

migration, security controls, accessibility considerations, and phased implementation.

Experience reviewing vendor technical designs, development approaches, and implementation

deliverables for feasibility, quality, security, maintainability, and alignment with business

outcomes.

Experience using or evaluating generative AI or AI-assisted tools to support requirements analysis,

design review, documentation, development practices, testing, code review, data migration, or

technical quality assurance.

Strong written, verbal, facilitation, analytical, and stakeholder-management skills.

Ability to work across business and technical teams, communicate tradeoffs clearly, and build

alignment in a complex project environment.

Preferred Qualifications

Experience with public-sector, procurement, ERP, financial, grants, licensing, permitting, benefits,

or other workflow-heavy enterprise platforms.

Experience helping organizations modernize from legacy systems to cloud-based or modular

platforms.

Experience with data mapping, data cleansing, data governance, reporting, analytics, and migration

to modern platforms.

Familiarity with FedRAMP, NIST, Commonwealth security requirements, privacy controls,

accessibility, records retention, and public-sector governance.

Experience with Agile or hybrid delivery models, phased rollouts, test strategy, automated testing,

performance testing, operational readiness, and transition planning.

Experience evaluating AI-enabled capabilities, automation, analytics, reporting, search, or

decision-support features in a governed enterprise environment.

Experience designing or guiding systems that must serve multiple user communities, including

internal operators, external business users, oversight users, and the public.

Ability to challenge conventional approaches constructively and identify opportunities to build a

more flexible, intuitive, and sustainable solution. EEO:- Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans