Compu-Vision Consulting

Compensation

Full Description

Title: Enterprise Architect (EA) Consultant (EA Operations & EA Office Stand-Up) Location: Sacramento, CA (This is a hybrid position: the resource will work remotely and will be required to come onsite for 3 consecutive days, Tuesday through Thursday, every three (3) weeks. The third week that requires onsite work will be determined and confirmed by the Task Manager when the resource starts work.) Duration: 9 months Client is seeking a leased employee EA 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. KEY RESPONSIBILITIES: • A. Tactical EA (≈50%) o Solution Architecture & Guidance: Produce solution intents, architecture decision records (ADRs), and reference architectures aligned to enterprise standards. o Standards & Patterns: Curate cloud, data, integration, security, and AI/ML patterns (e.g., Azure reference implementations, data mesh vs. warehouse). o Architecture Governance: Chair/coordinate Architecture Review Board (ARB); manage exceptions, waivers, and technical debt logs. o Road mapping: Maintain capability maps and technology roadmaps; ensure fit to business strategy and PMO portfolio plans. o Risk & Compliance: Embed security/privacy by design; align with regulatory and data governance requirements. o Vendor/Tool Evaluation: Conduct comparative assessments; ensure interoperability and cost-effectiveness. o Asset Management: Optimize and maintain the CMDB. o Change Management: Participate in Change Management Review Boards to assess and validate. o Software Purchase Evaluation: Evaluate software purchase requests and approve or decline based on Client policies including security and inventory review. o Project Technology: Evaluate and validate software proposed in overall solutions for specific projects. o Architecture Design and Strategy: Develop and maintain enterprise architecture frameworks, including business capability maps, technology roadmaps, and IT standards. o System Integration: Evaluate and integrate IT systems, ensuring interoperability and scalability across applications and platforms. o Stakeholder Collaboration: Work with senior management, technical specialists, and business units to align IT solutions with organizational strategy. o Technology Assessment: Research emerging technologies, recommend architecture changes, and advise on system strategies. o Documentation and Communication: Create and maintain architectural models, transition plans, and business cases for IT investments. o Technology Lifecycle Governance: Manage acquisition request intake, processing, risk management, cybersecurity, procurement, and end-of-life (EOL). o Enterprise Technology Standards: Establish governance to define, develop, and enforce enterprise standards. • B. EA Office Design, Stand-Up & Integration (≈50%) o Operating Model: Define mission, scope, decision rights (RACI), engagement model with PMO/BRM, and service catalog (e.g., solution reviews, standards stewardship). o Processes: Establish demand-to-delivery lifecycle: intake → triage → architecture initiation → design reviews → ARB → delivery checkpoints → benefits traceability. o Org & Roles: Define EA lead, domain architects (data, app, infrastructure, security), architecture analysts, and integrate shared services. o Tooling: Implement common tooling (e.g., repository for artifacts, ADRs, patterns; Power BI dashboards; Power Automate workflows; M365 Copilot for documentation). o Metrics & Reporting: Develop dashboards to monitor architectural compliance, reuse rates, cycle times, risk posture, and benefit realization. o Change Management: Communicate charter, develop playbooks, onboarding, and training; facilitate adoption across business units. • B1. Shared Services Capability Build-Out o Intake & Triage (Business Analyst): Standardize request forms, categorization, priority scoring, and routing; automate workflows. o 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. o 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. • B2. Process Automation & AI Enablement (with PMO) o PMO Automation: Automate stage gates, risk logs, RAID logs, status reports, and deliverable reviews; implement Copilot for PMs (agenda drafting, summarization, action item extraction). o Shared Services Automation: Build low-code applications for request triage, architecture review scheduling, and financial reconciliations. o Data-Driven Governance: Integrate portfolio data, architectural compliance data, and financial information into unified Strategy & Governance dashboards. • B3. Stakeholder Management & Communication o Single Face to Business Units: Present integrated services; simplify engagement and escalation pathways. o Executive Reporting: Provide concise, outcome-oriented updates on architecture, health, delivery risks, and transformation value. DELIVERABLES (Backlog and will be Prioritized once Onboarded) Foundational Artifacts • EA Office: Charter, Operating Model, Service Catalog, Engagement Playbook • Decision Rights/RACI: RACI matrix, ARB Charter, Exception/Waiver Policy • Standards & Reference Architectures: Cloud, data, integration, security, AI standards • Capability Maps and Roadmaps Automation & Tools • Intake & Triage App/Workflow: Power Automate / Power Apps • Portfolio & Architecture Dashboards: Power BI • Copilot Enablement: Templates, prompts, and governance guidelines • ADR Repository and Architecture Artifact Library: SharePoint / DevOps AI & Data • AI Use Case Registry and Model Risk Controls • Data Migration Playbook and Data Governance Guardrails: Lineage, catalog, quality • Reusable Data Pipelines and Integration Patterns Financial • Automated Budget & Forecast Dashboard: Project cost baselines, benefit tracking models MANDATORY REQUIREMENTS: Experience: • Experience implementing AI and automation in IT governance/processes • Bachelor's in Engineering / Technical Sciences • 15+ years in IT roles, including IT infrastructure, data management, and business systems • Knowledge of cloud platforms, enterprise data management, SQL, and software architecture frameworks • 15+ years of experience in enterprise data architecture, data migrations, and data management • 15+ years of experience mapping business functionality to IT solutions, assessing risks, and optimizing processes • Demonstrated experience designing and developing Enterprise Governance models to support various IT processes like technology procurement, cybersecurity, AI, project integrations, and business enablement • Strong interpersonal skills to lead teams, facilitate workshops, and present architectural strategies to executives. Skills & Competencies 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 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 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 DESIRABLE QUALIFICATIONS • Certifications in TOGAF, ITIL/COBIT, Azure, SAFe (or equivalent) • Master's in Engineering / Technical Sciences SOFT SKILLS & LEADERSHIP • Executive communication, changing leadership, stakeholder management • Systems thinking, analytical problem solving, conflict resolution • Coaching/enablement mindset; cross-functional collaboration Technical Evaluation Questionnaire: 1. Provide an example where you technically led a large-scale process of automation and transformation effort that leveraged AI. • What was your role in design, solution architecture, data architecture and migration, AI architecture and LLM structure? • Describe the realized benefits. • Describe the biggest challenges and how you overcame them. (2-pages maximum) 2. Provide an example where you designed and developed an IT governance structure such as an Enterprise Architecture model or other related governance models. • What were your key strategies and what were the outcomes? (1-page maximum)