The role necessitates a nuanced understanding of IT architecture, particularly the complexities of Microsoft 365 services.
The ideal candidate will have a deep understanding of Microsoft 365 architecture (Exchange, SharePoint, Teams, Power platforms, OneDrive etc ), encompassing M365 Copilot and supplementary AI-powe'red services. They should demonstrate proficiency in cloud computing, particularly within the Azure environment, with a strong emphasis on governance, compliance, and security measures.
A background spanning 16+ years in engineering and IT architecture is imperative, underscoring experience in the design, implementation, and management of intricate IT infrastructures. The ideal candidate will demonstrate a robust history of integrating AI-driven solutions within enterprise environments, ensuring seamless interoperability while upholding stringent security standards.
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A deep understanding of Microsoft 365 architecture (Exchange, SharePoint, Teams, Power platforms, OneDrive etc ), and engineering, including M365 Copilot and other AI-powe'red services.
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Expertise in cloud computing, particularly Azure, with a focus on governance, compliance, and security protocols.
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Proficiency in implementing AI and machine learning models tailored to business needs.
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Experience in leading cross-functional teams to deliver AI-integrated solutions that enhance operational efficiency.
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Strong problem-solving skills, with the ability to troubleshoot complex issues related to AI-driven automation and data management.
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Excellent communication skills to articulate technical concepts to non-technical stakeholders and ensure alignment with business goals.
Key Responsibilities:
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Architect and deliver comprehensive M365 solutions (two or more products), including M365 Copilot, ensuring integration aligns with business goals and leverages AI capabilities effectively.
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Collaborate with cross-functional teams in the design, development, and implementation of AI and machine learning models tailored to enhance business operations within the M365 ecosystem.
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Develop and enforce governance, compliance, and security protocols M365 products, ensuring robust protection of data and compliance with industry regulations.
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Drive the continuous improvement and optimal utilization of AI-powe'red automation features within the M365 suite, focusing on streamlining manual processes for enhanced operational efficiency.
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Collaborate with Enterprise Architecture, Engineering, Security, and Operations teams to ensure seamless integration and support of M365 services, adhering to Microsofts roadmap and enterprise objectives.
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Collaborate with CSO (Chief Security Officer) and GRC (Governance, Risk, and Compliance) teams to ensure alignment on security aspects, integrating comprehensive security strategies into AI and machine learning models.
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Provide expert guidance in prompt engineering to maximize user adoption and benefit from AI tools within the M365 suite.
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Build long and short term technical roadmap in alignment with the product vendors, proactively test features or updates and plan for production release in a timely manner.
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Own business demand and follow a controlled approach for release to production.
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Oversee change, communication and release management processes for both on-premises and cloud-hosted services, ensuring compliant and efficient transitions into the production environment.
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Apply strong business acumen to collaborate with leadership, define budgets, forecast needs, and manage services effectively to support enterprise goals.
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Maintain effective stakeholder management, communicating progress and status of platform delivery to GSK business stakeholders.
Qualifications:
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5+ years of M365 Technical Architect role (Most recent /ongoing)
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15+ years of engineering experience including M365 product suite.
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15+ years owning and driving strategic initiatives in the M365 space.
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15+ years in managing business stakeholders, demand gathering and delivering tangible outcomes for business.
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Experience in architecting and delivering comprehensive M365 solutions, including M365 Copilot, with a focus on AI integration.
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Proven track record in the design, development, and implementation of AI and machine learning models to enhance business operations in the M365 ecosystem.
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Strong background in developing and enforcing governance, compliance, and security protocols for Azure cloud services.
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Expertise in driving continuous improvement and optimal utilization of AI-powe'red automation features within the M365 suite.
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Ability to collaborate with cross-functional and specialized teams, including Enterprise Architecture, Engineering, and Security, Operations.
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Proficiency in providing expert guidance in prompt engineering to maximize user adoption and benefit from AI tools within the M365 suite.
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Experience overseeing change and release management processes for both on-premises and cloud-hosted services.
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Strong business acumen to collaborate with leadership, define budgets, forecast needs, and manage services effectively to support enterprise goals.
Preferred Qualifications:
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bachelors degree in computer science or a relevant field.
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Extensive experience in overseeing strategic initiatives and delivering comprehensive solutions within the M365 environment.
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Robust understanding of strong interest in AI-powe'red services (eg, M365 Copilot).
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Strong background in governance, compliance, and security protocols for Azure cloud services.
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Expertise in optimizing AI-powe'red automation features within the M365 suite.
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Ability to provide expert guidance in prompt engineering and manage change and release processes.
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Excellent business acumen to work closely with leadership, define budgets, and forecast needs.
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Experience in running systems with a thorough understanding of security, network, and record retention requirements.
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Experience in managing automation workflows across M365 services.
Skills
API Management, Cloud Architectures, Cloud Computing, Data Architecture, DevOps, Microservices Architecture, Network Architecture, Security Architecture Design, Service Oriented Architecture (SOA), Systems Integration
