M365 Collaboration Engineer - System Administration

About Company

About Southern Company

Requirements

• Extensive experience administering and governing Microsoft Power Platform solutions, including Power Apps, Power Automate, Power BI, Dataverse, AI Builder, environments, connectors, DLP policies, Center of Excellence (CoE), licensing, platform security, environment strategy, solution lifecycle management, low-code/no-code application governance, and automation controls.
• Experience administering, governing, deploying, and supporting Microsoft 365, Microsoft Copilot, Copilot Studio, custom agents, knowledge agents, AI-powered solutions, and agent lifecycle management, including prompt engineering, adoption strategies, security reviews, monitoring, optimization, support, and retirement of AI-enabled solutions.
• Strong knowledge of AI governance, responsible AI practices, information protection, data security, compliance controls, and AI-related risk management, including data exposure risks, prompt injection, access controls, information governance, cyber security threats, and protection of enterprise data within AI-powered solutions.
• Experience integrating Microsoft 365, Power Platform, Copilot Studio, Microsoft Graph, Dataverse, enterprise search capabilities, and external data sources to deliver intelligent automation, AI-powered solutions, and connected business processes.
• Experience with enterprise search, knowledge management, retrieval-based AI solutions, Microsoft Search, and AI-powered information discovery capabilities to improve workforce productivity, knowledge access, and business outcomes.
• Extensive experience administering, supporting, securing, and governing Microsoft 365 technologies, including Microsoft Teams, Teams Voice, SharePoint Online, OneDrive for Business, Office 365 tenant administration, Microsoft Entra ID (Azure AD), Conditional Access, licensing, identity and access management, compliance features, governance controls, Microsoft Graph, external access, GPO policies, Office client patching, PowerShell automation, and technical documentation.
• Proven experience as a Microsoft 365 Engineer and Administrator with expertise in configuring, troubleshooting, optimizing, and supporting Microsoft 365 applications and collaboration services, including Teams, SharePoint Online, OneDrive, Word, Excel, PowerPoint, OneNote, and related collaboration tools.
• Experience conducting solution architecture reviews, governance assessments, risk evaluations, security reviews, and production readiness assessments for AI agents, automation solutions, Copilot implementations, and low-code/no-code applications to ensure alignment with enterprise standards and business objectives.
• Experience developing and analyzing adoption metrics, business value measurements, ROI models, operational analytics, usage reporting, executive dashboards, and performance insights related to Microsoft 365, Copilot, AI, and automation initiatives. Required
• Working knowledge of network protocols, DNS, authentication methods, server technologies, storage technologies, and related infrastructure components supporting Microsoft 365, AI, and automation platforms. Desired.
• Excellent verbal, written, and technical communication skills, with the ability to translate complex technical, AI, and automation concepts into clear, actionable information for both technical and non-technical audiences.
• Strong business consulting, stakeholder engagement, and relationship-building skills with the ability to serve as a trusted advisor, identify and prioritize opportunities, develop business cases, and align AI and automation solutions to business objectives and measurable outcomes.
• Strong analytical, problem-solving, and decision-making skills with the ability to assess complex business and technical challenges, evaluate risks, costs, benefits, security, compliance, and operational impacts, and support informed business decisions.
• Demonstrated ability to drive innovation, process improvement, digital transformation, and user adoption initiatives through the effective application of AI, automation, and low-code/no-code technologies.
• Ability to balance innovation with governance by enabling rapid adoption of AI and automation capabilities while maintaining appropriate controls, risk management practices, security requirements, and compliance standards.
• Ability to evaluate, measure, and communicate business value, operational efficiency gains, success metrics, and realized outcomes associated with AI and automation investments.
• Proven ability to build partnerships and collaborate effectively across geographically dispersed technical and business teams to drive successful implementation, adoption, and sustainment of AI and automation solutions.
• Self-motivated, highly organized, detail-oriented professional with the ability to work independently, manage multiple priorities, maintain high-quality results, and adapt to changing business needs.