Remote AI Security & Governance Manager

SHI

Madison (WI)

Remote

USD 185,000 - 200,000

Full time

39 hours ago

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Benefits offered by this job

Diversity commitment

Growth opportunities

Health benefits

Modern facilities

Job summary

SHI International Corp. is seeking a Services Manager, AI Security & Governance, to lead a team of engineers focused on securing and governing Microsoft AI, agents, data, identity, and cloud solutions.

You will drive delivery excellence, governance, and automation across Microsoft Entra, Purview, Defender, Sentinel, and related tools, partnering with internal teams and customers. The role balances people leadership with hands-on engineering oversight to deliver scalable, secure outcomes for

Qualifications

Bachelor's degree in a technical, business, or related field, or equivalent practical experience.
Seven or more years of experience delivering solutions across cybersecurity, cloud engineering, software development, automation, identity, data protection, AI governance, or related technologies.
Three or more years of experience leading technical teams, practices, or consulting organizations.
Strong executive communication, stakeholder management, and organizational leadership skills.
Experience with Microsoft Entra, Microsoft Purview, Microsoft Defender, Microsoft Sentinel, Microsoft Security Copilot, or related Microsoft security technologies.
Understanding of Microsoft 365 Copilot, Microsoft Fabric, Azure AI, or related AI and data platforms.
Experience using automation to improve service delivery, engineering, or operational processes.
Understanding of GitHub, CI/CD, PowerShell, Bicep, APIs, Infrastructure as Code, source control, testing, and reusable engineering components.
Proven success working across multiple technical practices or delivery teams to support integrated customer solutions.
Experience building service offerings, accelerators, automation, methodologies, technical communities, or reusable intellectual property.
Strong executive communication, stakeholder management, and organizational leadership skills.

Responsibilities

Lead, coach, and develop a team of Engineers and Developers focused on AI security, data security, identity, governance, automation, and related Microsoft technologies.
Establish clear performance expectations, career development plans, and technical growth pathways.
Build a culture of innovation, accountability, collaboration, engineering excellence, and continuous learning.
Support recruiting, hiring, onboarding, and retention efforts to develop a strong AI security and governance capability.
Foster knowledge sharing and community building across Microsoft Services practices.
Define and evolve the roadmap for the AI security and governance services assigned to the team, including advisory, assessment, implementation, engineering, automation, and operational enablement offerings.
Develop repeatable capabilities for AI security architecture, agent security controls, AI identity and access, data protection, compliance integration, security monitoring, threat protection, and security-focused governance.
Partner with Microsoft and internal stakeholders to align the team’s services with evolving Microsoft AI, security, compliance, identity, and data capabilities.
Develop reusable intellectual property for the team’s portfolio, including reference architectures, implementation methodologies, security patterns, governance controls, accelerators, automation, code, templates, and best practices.
Identify emerging AI security and governance trends and recommend focused investments that strengthen SHI’s ability to help customers adopt AI securely.
Provide delivery oversight and guidance for customer engagements owned by the AI Security & Governance team.
Ensure consistent delivery quality through architecture reviews, engineering standards, testing, governance controls, documentation, and operational best practices.
Guide the application of Microsoft Entra, Microsoft Purview, Microsoft Defender, Microsoft Sentinel, Microsoft Security Copilot, Agent 365, and related technologies within the team’s areas of responsibility.
Support escalation management and risk mitigation for complex customer engagements involving the team’s services and expertise.
Ensure solutions are scalable, supportable, and aligned with enterprise architecture, privacy, compliance, and security standards.
Manage team capacity, utilization, workload, project health, and skills alignment to support reliable delivery and sustainable growth.
Make automation a core component of how the AI Security & Governance team designs, develops, and delivers its services.
Identify repeatable activities within the team’s delivery portfolio that can be standardized, automated, and converted into reusable intellectual property.
Guide development of scripts, tools, integrations, accelerators, and automation that improve the speed, quality, consistency, and efficiency of the team’s delivery work.
Promote modern engineering practices using GitHub, CI/CD, PowerShell, Bicep, APIs, Infrastructure as Code, testing, and reusable components where appropriate to the team’s services.
Establish practices for source control, code review, testing, documentation, release management, support, and lifecycle management for assets developed by the team.
Collaborate with adjacent practice groups to align reusable engineering assets and avoid unnecessary duplication.
Cross-Practice Collaboration and Solution Support