Enterprise Architect Consultant

Capio Group•Sacramento, CA

3d•$135,000 - $145,000

About The Position

Capio Group is looking for an experienced Enterprise Architect Consultant! Full-time employee - Sacramento Salary: $135,000 - $145,000 About Us: Capio Group is a California-based Information Technology Consulting firm serving the public sector since 2010. We assist the Government in delivering large, complex systems and solutions. Capio Group is a small, but quickly growing firm that mixes good ideas, with great people, to achieve extraordinary results for our clients. We offer the salary and benefits of the bigger companies, with the added bonus of a flexible workplace and a great work-life balance. Scope of Work: Capio Group is looking for an experienced Enterprise Architect Consultant to lead the tactical execution of enterprise architecture (solutions guidance, standards enforcement, architectural runway) while designing and standing up the EA Office integrated with PMO and BRM within a unified Strategy & Governance department. Establish shared services for intake orchestration, AI and data architecture enablement, and financial analytics, and co-own process automation and AI enablement for project managers and shared services specialists. In addition, the Enterprise Architect Consultant is expected to perform tasks including but not limited to: A. Tactical Enterprise Architecture Solution Architecture & Guidance: Produce solution intents, architecture decision records (ADRs), and reference architectures aligned to enterprise standards. Standards & Patterns: Curate cloud, data, integration, security, and AI/ML patterns (e.g., Azure reference implementations, data mesh vs. warehouse). Architecture Governance: Chair/coordinate Architecture Review Board (ARB); manage exceptions, waivers, and technical debt logs. Road mapping: Maintain capability maps and technology roadmaps; ensure fit to business strategy and PMO portfolio plans. Risk & Compliance: Embed security/privacy by design; align with regulatory and data governance requirements. Vendor/Tool Evaluation: Conduct comparative assessments; ensure interoperability and cost-effectiveness. Asset Management: Optimize and maintain the CMDB. Change Management: Participate in Change Management Review Boards to assess and validate. Software Purchase Evaluation: Evaluate software purchase requests and approve or decline based on client policies including security and inventory review. Project Technology: Evaluate and validate software proposed in overall solutions for specific projects. Architecture Design and Strategy: Develop and maintain enterprise architecture frameworks, including business capability maps, technology roadmaps, and IT standards. System Integration: Evaluate and integrate IT systems, ensuring interoperability and scalability across applications and platforms. Stakeholder Collaboration: Work with senior management, technical specialists, and business units to align IT solutions with organizational strategy. Technology Assessment: Research emerging technologies, recommend architecture changes, and advise on system strategies. Documentation and Communication: Create and maintain architectural models, transition plans, and business cases for IT investments. Technology Lifecycle Governance: Manage acquisition request intake, processing, risk management, cybersecurity, procurement, and end-of-life (EOL). Enterprise Technology Standards: Establish governance to define, develop, and enforce enterprise standards. B) EA Office Design, Stand-Up & Integration Operating Model: Define mission, scope, decision rights (RACI), engagement model with PMO/BRM, and service catalog (e.g., solution reviews, standards stewardship). Processes: Establish demand-to-delivery lifecycle: intake → triage → architecture initiation → design reviews → ARB → delivery checkpoints → benefits traceability. Org & Roles: Define EA lead, domain architects (data, app, infrastructure, security), architecture analysts, and integrate shared services. Tooling: Implement common tooling (e.g., repository for artifacts, ADRs, patterns; Power BI dashboards; Power Automate workflows; M365 Copilot for documentation). Metrics & Reporting: Develop dashboards to monitor architectural compliance, reuse rates, cycle times, risk posture, and benefit realization. Change Management: Communicate charter, develop playbooks, onboarding, and training; facilitate adoption across business units. C) Shared Services Capability Build-Out Intake & Triage (Business Analyst): Standardize request forms, categorization, priority scoring, and routing; automate workflows. AI/Data (AI & Data Analyst): Establish data architecture guardrails, metadata management, data lineage, Master Data Management (MDM), migration frameworks; define AI use-case registry, risk controls, model governance, and prompt libraries. Value Analytics: Enable intelligent resource optimization for unbiased decision-making, efficient resource allocation, and financial planning. Use variance analysis, forecast models, and link portfolio financials to business outcomes. D) Process Automation & AI Enablement (with PMO) PMO Automation: Automate stage gates, risk logs, RAID logs, status reports, and deliverable reviews; implement Copilot for PMs (agenda drafting, summarization, action item extraction). Shared Services Automation: Build low-code applications for request triage, architecture review scheduling, and financial reconciliations. Data-Driven Governance: Integrate portfolio data, architectural compliance data, and financial information into unified Strategy & Governance dashboards. E) Stakeholder Management & Communication Single Face to Business Units: Present integrated services; simplify engagement and escalation pathways. Executive Reporting: Provide concise, outcome-oriented updates on architecture, health, delivery risks, and transformation value.

Requirements

Must have minimum experience implementing AI and automation in IT governance/processes.
Must possess a Bachelor’s degree in Engineering / Technical Sciences. A copy of the degree must be provided upon request.
Must have fifteen(15)+ years of experience in IT roles, including IT infrastructure, data management, and business systems.
Must have minimum experience and knowledge in cloud platforms, enterprise data management, SQL, and software architecture frameworks.
Must have fifteen(15)+ years of experience in enterprise data architecture, data migrations, and data management.
Must have fifteen(15)+ years of experience mapping business functionality to IT solutions, assessing risks, and optimizing processes.
Must have demonstrated experience in designing and developing Enterprise Governance models to support various IT processes like technology procurement, cybersecurity, AI, project integrations, and business enablement.
Must have demonstrated experience in Architecture & Technology • Enterprise & Solution Architecture: Capability modeling, architecture runway, ADRs • Cloud & Integration: Event-driven architectures, identity/access management • Data & AI: Data architecture, governance, ETL/ELT, data migration; AI/ML lifecycle, prompt engineering, model governance
Must have demonstrated experience in Process & Governance • Operating Model Design: Decision rights, organizational design, service catalogs • Portfolio & Demand Management: Intake, triage, prioritization, capacity planning • Architecture Governance: Architecture Review Board (ARB), standards stewardship, exception handling
Must have demonstrated experience in Automation & Tooling • Power Platform: Power Automate, Power Apps, Power BI • M365 Copilot: Enablement and guardrails • DevOps Tooling: Azure DevOps, Jira for backlogs and documentation • Data Catalog/Lineage Tools: e.g., Microsoft Purview or equivalent

Nice To Haves

Possession of certifications in TOGAF, ITIL/COBIT, Azure, SAFe (or equivalent). A copy of the certification must be provided upon request.
Possession of Master’s degree in Engineering / Technical Sciences. A copy of the degree must be provided upon request.
Executive communication, changing leadership, stakeholder management.
Systems thinking, analytical problem solving, conflict resolution.
Coaching/enablement mindset; cross-functional collaboration.

Responsibilities

Produce solution intents, architecture decision records (ADRs), and reference architectures aligned to enterprise standards.
Curate cloud, data, integration, security, and AI/ML patterns (e.g., Azure reference implementations, data mesh vs. warehouse).
Chair/coordinate Architecture Review Board (ARB); manage exceptions, waivers, and technical debt logs.
Maintain capability maps and technology roadmaps; ensure fit to business strategy and PMO portfolio plans.
Embed security/privacy by design; align with regulatory and data governance requirements.
Conduct comparative assessments; ensure interoperability and cost-effectiveness.
Optimize and maintain the CMDB.
Participate in Change Management Review Boards to assess and validate.
Evaluate software purchase requests and approve or decline based on client policies including security and inventory review.
Evaluate and validate software proposed in overall solutions for specific projects.
Develop and maintain enterprise architecture frameworks, including business capability maps, technology roadmaps, and IT standards.
Evaluate and integrate IT systems, ensuring interoperability and scalability across applications and platforms.
Work with senior management, technical specialists, and business units to align IT solutions with organizational strategy.
Research emerging technologies, recommend architecture changes, and advise on system strategies.
Create and maintain architectural models, transition plans, and business cases for IT investments.
Manage acquisition request intake, processing, risk management, cybersecurity, procurement, and end-of-life (EOL).
Establish governance to define, develop, and enforce enterprise standards.
Define mission, scope, decision rights (RACI), engagement model with PMO/BRM, and service catalog (e.g., solution reviews, standards stewardship).
Establish demand-to-delivery lifecycle: intake → triage → architecture initiation → design reviews → ARB → delivery checkpoints → benefits traceability.
Define EA lead, domain architects (data, app, infrastructure, security), architecture analysts, and integrate shared services.
Implement common tooling (e.g., repository for artifacts, ADRs, patterns; Power BI dashboards; Power Automate workflows; M365 Copilot for documentation).
Develop dashboards to monitor architectural compliance, reuse rates, cycle times, risk posture, and benefit realization.
Communicate charter, develop playbooks, onboarding, and training; facilitate adoption across business units.
Standardize request forms, categorization, priority scoring, and routing; automate workflows.
Establish data architecture guardrails, metadata management, data lineage, Master Data Management (MDM), migration frameworks; define AI use-case registry, risk controls, model governance, and prompt libraries.
Enable intelligent resource optimization for unbiased decision-making, efficient resource allocation, and financial planning. Use variance analysis, forecast models, and link portfolio financials to business outcomes.
Automate stage gates, risk logs, RAID logs, status reports, and deliverable reviews; implement Copilot for PMs (agenda drafting, summarization, action item extraction).
Build low-code applications for request triage, architecture review scheduling, and financial reconciliations.
Integrate portfolio data, architectural compliance data, and financial information into unified Strategy & Governance dashboards.
Present integrated services; simplify engagement and escalation pathways.
Provide concise, outcome-oriented updates on architecture, health, delivery risks, and transformation value.