Sr. AI Governance Architect

Accountabilities:: The Sr. AI Governance Architect will lead governance strategy and implementation across AI, agents, data, Power Platform, Microsoft 365, and Azure while serving as a trusted advisor to enterprise clients. Design and implement enterprise AI and agent governance frameworks, including operating models, policies, standards, roles, responsibilities, decision structures, and prioritized roadmaps. Govern the full lifecycle of agents across Agent Builder, SharePoint agents, Copilot Studio, Frontier agents, and Copilot connectors, including intake, registration, publishing, production promotion, ownership, monitoring, and retirement. Design Agent 365 governance covering agent identity boundaries, policies, monitoring, auditing, and alignment with Defender, Purview, and Entra ID. Define Copilot Studio security, DLP, connector, event trigger, knowledge source, HTTP request, and capacity controls. Establish and formalize AI Centers of Excellence, including lifecycle management, monitoring, reporting, audit, compliance, review cadences, and escalation structures. Translate responsible AI and regulatory frameworks such as NIST AI RMF, ISO/IEC 42001, EU AI Act, and industry-specific requirements into practical controls and audit evidence. Lead Microsoft Purview and Fabric data governance covering cataloging, lineage, classification, data quality, sensitivity labeling, and ownership. Assess data readiness for AI, including SharePoint and OneDrive oversharing risks, knowledge source governance, grounding, and controls required before broader Copilot and agent adoption. Design Purview protections for AI, including DSPM for AI, DLP, information protection, retention, and auditing, while coordinating these controls with Power Platform and Copilot Studio policies. Govern Dataverse and Dataverse-to-Fabric patterns to ensure application and agent data remains classified, owned, and auditable. Design Power Platform environment strategies, landing zones, environment groups, lifecycle models, naming conventions, ownership standards, and provisioning processes. Lead DLP and connector classification, impact analysis, remediation, ALM, solution packaging, versioning, deployment approvals, and rollback strategies. Operationalize the CoE Starter Kit, Copilot Studio Starter Kit, managed environments, and Entra ID security group and role models. Advise on Microsoft 365 collaboration governance across Teams, SharePoint, and Exchange, including external sharing, information barriers, lifecycle, and retention. Shape Azure governance for AI workloads, including landing zones, Azure Policy, RBAC, tagging, cost controls, Azure OpenAI, and AI Foundry deployments. Define application and SDLC governance for AI solutions covering API Management, Logic Apps, secrets management, code review, model release gates, prompt management, and evaluation processes. Lead multi-pillar engagements, direct consultants and engineers, and maintain the quality of client deliverables. Facilitate executive briefings, AI Opportunity Labs, environment strategy workshops, and security and DLP strategy sessions. Partner with sales and solution engineering on discovery, estimates, work breakdown structures, statements of work, and governance offerings. Produce practical governance frameworks, playbooks, runbooks, decision logs, intake forms, policy templates, reusable intellectual property, and implementation accelerators. Contribute to continuous improvement of governance methodologies and help establish the quality standards for foundational and strategic governance work. Requirements: The ideal candidate brings deep enterprise Microsoft governance expertise together with strong architecture, security, AI, data, and consulting capabilities. 8+ years of enterprise technology experience, including at least 4 years leading governance, security, or architecture initiatives on Microsoft platforms. Experience working in multi-business-unit, regulated, or high-scrutiny environments. Proven expertise in AI and agent governance, including Copilot Studio, Agent Builder, Microsoft 365 Copilot, and Agent 365 at enterprise scale. Strong Microsoft Purview expertise covering information protection, DLP, data mapping and cataloging, DSPM for AI, and related governance capabilities. Working knowledge of Microsoft Fabric and data readiness practices for AI. Hands-on Power Platform governance experience spanning environment strategy, DLP design and enforcement, managed environments, CoE Starter Kit, and ALM with Pipelines or Azure DevOps. Strong understanding of Entra ID, least privilege, Conditional Access, RBAC, Defender, and auditability as they relate to AI, data, and Power Platform governance. Working knowledge of Azure governance, including landing zones, Azure Policy, RBAC, and cost controls, as well as Microsoft 365 collaboration governance. Demonstrated ability to both architect and implement governance models, with portfolio evidence of taking designs through approval and configuration. Executive-level communication skills and emotional intelligence, with the ability to explain governance trade-offs and risk to CIOs, CISOs, AI Councils, and other senior stakeholders. Experience governing agent estates at scale, including inventory, risk assessment, and bringing unmanaged agents and environments into governed models. Experience designing Purview controls for Copilot and agents, including addressing oversharing and knowledge source risks. Experience establishing an AI Center of Excellence or AI Council, including intake, escalation, governance cadence, and organizational adoption. Strong understanding of Agent 365, Copilot Studio security, and Microsoft’s evolving native governance capabilities. Experience translating responsible AI frameworks into concrete controls, evaluation gates, and audit evidence. Ability to stay current with Microsoft AI, agent, data, and automation platform developments, including release plans and preview capabilities. Knowledge of Azure OpenAI, AI Foundry, AI Search, content safety, evaluation tooling, and integration with Copilot Studio is beneficial. Experience with Azure Functions, Logic Apps, custom connectors, API Management, and GitHub Advanced Security is beneficial. Familiarity with ServiceNow or other ITSM integrations for agent intake and approvals is an advantage. Knowledge of AI adoption and change management practices, including AI Ambassador or champion programs, Viva Insights, and Copilot Dashboard is helpful. Certifications such as SC-100, SC-401, PL-600, AB-100, AZ-305, or equivalent demonstrated expertise are valued. Consulting or professional services experience, pre-sales exposure, and a track record of mentoring consultants or developing a practice are preferred. Ability to work remotely within the United States or Canada with reliable availability during Eastern and Central business hours. Benefits: Annual salary of $160,000–$180,000 USD ; Canadian compensation rates vary. Fully remote work environment across the United States or Canada. Comprehensive health, dental, and vision insurance. 100% coverage of employee medical premiums. Generous and flexible paid time off. Retirement plan options. Ongoing training and professional development opportunities. Flexible work arrangements supporting work-life balance. Wellness programs designed to support employee well-being. Opportunity to work on enterprise-scale AI governance, responsible AI, data governance, and Microsoft platform initiatives. Collaborative and inclusive environment with an emphasis on continuous learning and professional growth. Opportunities to influence governance strategy, mentor consultants, and contribute to reusable industry accelerators and intellectual property.