ST Engineering Group
Manager, IT
London
Posted about 11 hours ago
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Key Responsibilities
Enterprise Application Solutioning & Architecture
- Lead the design, development, enhancement, and support of enterprise business applications.
- Define application architecture, technical standards, and best practices.
- Review solution designs to ensure scalability, security, maintainability, and compliance with enterprise standards.
- Support digital transformation initiatives by evaluating and recommending appropriate technologies and platforms.
Application Development & Platform Governance
- Provide technical leadership for OutSystems, Microsoft Power Platform, and other low-code platforms.
- Establish development governance, coding standards, release management, and application lifecycle management practices.
- Review and approve solution designs from internal teams and vendors.
- Ensure applications are audit-ready and adequately documented.
AI & Automation Enablement
- Drive AI adoption within the organization through Enterprise AI platforms (Microsoft Copilot, Copilot Studio, Generative AI).
- Identify and implement AI use cases that improve operational efficiency and user productivity.
- Develop and govern AI-powered solutions, chatbots, knowledge management systems, and digital assistants.
- Provide guidance on AI governance, security, and responsible use.
Business Engagement & Solution Consulting
- Engage business stakeholders to understand operational challenges and translate requirements into technology solutions.
- Conduct platform suitability assessments and recommend optimal solutions.
- Support project estimation, planning, and implementation activities.
Vendor & Project Management
- Manage vendors and project teams to ensure delivery quality and adherence to timelines.
- Participate in system evaluations, procurement activities, and technical reviews.
- Ensure successful delivery of enhancement projects and new solution implementations.
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Knowledge Management & Documentation
- Establish and maintain application documentation standards.
- Drive automation of system documentation, knowledge repositories, and support processes.
- Support knowledge transfer and capability development across IT teams.
Team Mentoring & Capability Building
- Mentor developers and citizen developers.
- Provide technical coaching on application architecture, AI technologies, and development best practices.
- Promote innovation and continuous improvement within the team.
Quality Assurance, Governance & Application Compliance
- Establish and enforce development standards, coding guidelines, security requirements, and review processes.
- Oversee testing strategies, including SIT, UAT, regression testing, and production readiness reviews.
- Ensure proper release management, deployment governance, and post-implementation support processes are followed.
Experience & Qualifications
- Minimum 4+ years of experience in IT management, application development, solution architecture, or technology leadership roles, preferably within an IT Shared Services environment.
- Proven experience managing enterprise web and portal application development teams, preferably utilizing OutSystems (O11 and ODC), Microsoft Power Platform, or other Low-Code/No-Code platforms.
- Hands-on experience designing, developing, and implementing AI-powered solutions, including Generative AI, Microsoft Copilot, Copilot Studio, Azure AI Services, AI chatbots, intelligent automation, or related AI technologies.
- Experience in translating business requirements into AI-enabled solutions and driving AI adoption across business functions.
- Familiarity with AI development concepts including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, AI agents, knowledge management solutions, and AI governance practices.
- Experience integrating AI capabilities with enterprise applications, workflows, APIs, and cloud platforms.
- Knowledge of AI security, privacy, responsible AI principles, and governance frameworks.
- Experience leading Proof-of-Concepts (POCs), technology evaluations, and innovation initiatives related to AI and automation.
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Technical Competencies
- Strong understanding of enterprise application architecture, software development lifecycle (SDLC), DevOps, API integrations, and cloud technologies.
- Expertise in OutSystems, Microsoft Power Platform, Power Automate, and enterprise application development best practices.
- Working knowledge of Microsoft Copilot ecosystem, Copilot Studio, Azure OpenAI Services, Azure AI Foundry, or equivalent AI platforms.
- Understanding of AI model deployment, prompt engineering, chatbot development, workflow orchestration, and intelligent automation capabilities.
- Experience establishing governance frameworks covering application security, development standards, architecture reviews, and AI compliance requirements.
Leadership Competencies
- Ability to lead, mentor, and develop application, AI, and Low-Code/No-Code development teams.
- Strong stakeholder management and consulting skills with the ability to communicate technical concepts to business audiences.
- Excellent communication, leadership, problem-solving, and project management capabilities.
- Demonstrated ability to drive innovation, digital transformation, AI adoption, and continuous improvement initiatives.
Preferred Certifications (Advantageous)
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Power Platform Solution Architect Expert
- Microsoft Copilot for Microsoft 365 Specialization
- OutSystems Professional / Associate Reactive Developer Certification
- AI Governance, Generative AI, or Cloud Architecture related certifications
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Skills
Enterprise Architecture
OutSystems
Microsoft Power Platform
Generative AI
Microsoft Copilot
Solution Architecture
Application Lifecycle Management
AI Governance
Vendor Management
Project Management
Cloud Technologies
DevOps
API Integration
Stakeholder Management
Technical Leadership
Software Development Lifecycle
Location