Manager - Microsoft AI Security & Governance

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.

Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy:

- Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
- Continuous professional growth and leadership opportunities.
- Health, wellness, and financial benefits to offer peace of mind to you and your family.
- World-class facilities and the technology you need to thrive – in our offices or yours.

Job Summary

The SHI Services Manager, AI Security & Governance leads a team of Engineers and Developers focused on helping customers secure and govern Microsoft AI, agents, data, agent identity, and cloud solutions. The Manager is responsible for a defined portfolio of AI security and governance services while providing specialized security and governance expertise in support of solutions led by other Microsoft Services practice groups.

This role provides leadership across team development, solution delivery, engineering and automation, customer advisory, and capability development. The Manager helps customers establish practical security, identity, data protection, compliance, monitoring, and governance controls needed to responsibly adopt AI and agent technologies.

The Manager serves as both a people leader and capability leader, ensuring the team delivers secure, scalable, and business outcome-focused solutions within its areas of responsibility. This role works closely with Data and AI, Digital Workplace, Enterprise Security, Azure Cloud Services, sales, solution architects, delivery leaders, Microsoft, and customer stakeholders to bring AI security and governance expertise into broader customer solutions.

Role Description

Team Leadership and Talent Development

- 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.

AI Security & Governance Capability Development

- 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.

Delivery Excellence

- 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.

Engineering and Service Delivery Automation

- 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

- Partner with Data and AI, Digital Workplace, Enterprise Security, Azure Cloud Services, and other Microsoft Services teams to incorporate appropriate security and governance capabilities into broader customer solutions.
- Provide AI security, identity, data protection, compliance, monitoring, and governance expertise in support of services and engagements led by other practice groups.
- Collaborate with agentic solution teams on security and governance requirements for Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry, Agent 365, custom agents, and related technologies.
- Work with Enterprise Security leadership to align AI-specific security capabilities with SHI’s broader Microsoft security portfolio and delivery standards.
- Contribute to shared customer governance models, production-readiness approaches, reference architectures, and solution patterns without duplicating ownership held by adjacent teams.
- Establish clear engagement models, responsibilities, and handoffs that allow teams to combine expertise and deliver an integrated customer experience.

Solution Advisory and Technical Leadership

- Serve as a technical advisor for strategic customer opportunities that require the team’s AI security and governance expertise.

- Guide solution decisions within the team’s areas of responsibility, including AI and agent identity, access, data protection, monitoring, threat detection, compliance, and security controls.

- Collaborate with solution architects, engineering leaders, developers, and delivery teams to ensure technical consistency and alignment.

- Promote security by design and governance by design approaches that connect business outcomes to technical implementation.

- Contribute thought leadership on AI security, agent security, secure development, delivery automation, responsible AI, and enterprise governance practices.

Business Growth and Customer Success

- Partner with sales, presales, and adjacent practice teams to support pipeline development, opportunity strategy, and solution positioning involving AI security and governance.

- Participate in customer workshops, executive briefings, architecture discussions, and strategic planning sessions where the team’s expertise is required.

- Support revenue growth, customer retention, and expansion opportunities within the team’s assigned portfolio and through cross-practice solutions.

- Ensure customer engagements deliver measurable business outcomes and strong customer satisfaction.

- Contribute to success stories, case studies, sales enablement, and market-facing thought leadership.

Behaviors and Competencies

- Adaptability: Can lead others through change, help teams adapt to new directions, and create a culture open to change.
- Business Acumen: Can develop and execute business plans to drive growth and profitability.
- Change Management: Can manage major changes in organizational processes or policies, can facilitate change management processes among others, can mentor others in effective change management, and can adapt change management style based on the situation and the organization’s needs.
- Collaboration: Can take ownership of team initiatives, foster a collaborative environment, and ensure that all team members feel valued and heard.
- Communication: Can effectively communicate complex ideas and information to diverse audiences, facilitate effective communication between others, and mentor others in effective communication.
- Continuous Improvement: Can identify major areas for improvement, implement major changes, and support others in their continuous improvement efforts.
- Customer-Centric Mindset: Can take ownership of customer-centric initiatives, ensuring products and services align with customer needs. Collaborates with cross-functional teams to integrate customer feedback into product development.
- Leadership: Can take ownership of complex team initiatives, collaborate with others in decision-making processes, and drive team performance.
- Problem-Solving: Can proactively identify and take ownership of complex problem-solving initiatives, initiate preventative measures, collaborate with others to find solutions, and drive successful outcomes.
- Strategic Thinking: Can analyze complex situations, anticipate future trends, and align and integrate strategies across departments or functions.

Skill Level Requirements

This role requires strength across the following areas. Deep expertise in every platform is not required, but broad experience across these capabilities is important for success. Candidates should not self-select out if they do not meet every preferred qualification.

- 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.
- Experience leading Engineers, Developers, Architects, Consultants, or similarly technical professionals.
- Strong understanding of AI security, agent security, identity, data protection, information governance, compliance, monitoring, threat detection, and incident response.
- Experience with Microsoft Entra, Microsoft Purview, Microsoft Defender, Microsoft Sentinel, Microsoft Security Copilot, or related Microsoft security technologies.
- Understanding of Microsoft 365 Copilot, Microsoft Foundry, Agent 365, 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.

Relevant certifications may include Microsoft Certified: Cybersecurity Architect Expert, Microsoft Certified: Identity and Access Administrator Associate, Microsoft Certified: Information Security Administrator Associate, Microsoft Certified: Security Operations Analyst Associate, Microsoft Certified: Azure Security Engineer Associate, Microsoft Certified: Azure AI Engineer Associate, or equivalent experience.

Other Requirements

- Ability to work independently while collaborating effectively with sales, delivery, engineering, development, and leadership stakeholders.

- Willingness to travel to support client engagements, workshops, and internal enablement activities, up to 20%.

- Commitment to continuous learning across Microsoft AI, security, identity, data, governance, development, and automation technologies.

- Strong ethical standards with disciplined adherence to data privacy, governance, compliance, secure development, and security policies.

This role sits at the intersection of AI innovation, security, governance, engineering, and service delivery automation. It offers the opportunity to lead talented Engineers and Developers, own a focused portfolio of AI security and governance services, and collaborate across SHI to help organizations move AI and agent solutions into secure, governed, enterprise-scale production environments.

Your Success at SHI

People who are successful in this role tend to demonstrate:

- High employee engagement, retention, and skill development across a growing AI security and governance team.
- Consistent delivery quality, strong customer satisfaction, and practical judgment across the services owned by the team.
- The ability to balance AI innovation with security, governance, data privacy, compliance, and operational readiness.
- Measurable improvements in delivery speed, consistency, scalability, and quality through automation and reusable intellectual property within the team’s portfolio.
- Growth of the team’s AI security and governance services, pipeline, reusable assets, and capability maturity.
- Strong collaboration across Data and AI, Digital Workplace, Enterprise Security, Azure Cloud Services, sales, presales, delivery, engineering, leadership, and Microsoft partner teams.
- Clear ownership of assigned services combined with a collaborative approach to solutions led by other practice groups.
- A genuine passion for developing technical talent and helping customers adopt AI securely and responsibly.

The base salary for this position is $185,000 - $200,000. The estimated on-target earnings, or OTE, which includes a base salary and bonus/commissions, are $230,000 - $250,000. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.

Equal Employment Opportunity – M/F/Disability/Protected Veteran Status