Senior IT Manager
Insight Global
Senior It Manager- Smart Automation And PlatformsRequired Skills & Experience10+ years experience in software engineering and automation3+ years experience leading application, automation, or smart platform engineering teamsWell versed in the following technologies:UiPath: Deep knowledge of UiPath orchestrator, robots, and advanced automation workflowsServiceNow: Expertise in ServiceNow workflow engines, integration hubMicrosoft Power Automate: Strong background in Power Automate cloud flows, desktop flows, and DataverseArtificial Intelligence: Hands-on experience with AI agents, machine learning models, and cognitive servicesProactive technical debt management as well as a strong grasp of Agile delivery and DevOps practices for automation (CI/CD)Nice to Have Skills & ExperienceExperience with the following ServiceNow modules: Legal, HCM and Fin modulesJob DescriptionAn employer is looking for a Senior IT Manager- Smart Automation and Platforms to sit remotely. You will manage and lead a team of technology professionals responsible for developing intelligent automation solutions. You will oversee initiatives leveraging UiPath, ServiceNow, Microsoft Power Automate, and AI technologies. You will drive platform strategy, system architecture, and scalable workflow development while aligning technology solutions with business objectives to support organizational growth and operational excellence.Key ResponsibilitiesTeam Leadership: Lead and mentor a team of high-performing software engineers, technical leads, and platform architectsPlatform Strategy: Own the roadmap, strategy, standards, operating model, and adoption plan for UiPath, ServiceNow, Microsoft Power Automate, Copilot Studio and AI integrations.Technical Strategy: Drive the architectural vision, tech stack evolution, and code quality standards for core applications to build secure, scalable, and stable automation architectures across cloud and on-premises systemsAI Integration: Embed generative and traditional AI tools into workflows to boost system smartsGovernance & Standards: Establish governance for automation development, best practices for code quality, access controls, reusable components, auditability, monitoring, exception handling, secure AI usage, code management (branch management, code reviews, AI token consumption, upgrades, general up-keep, etc.) and maintenance across all tools while adhering to Governance and Security policies.Stakeholder Management: Work with business leaders to identify and manage the automation opportunity pipeline, prioritize demand based on business value, complexity, risk, and reuse potential, and report realized benefits such as productivity gains, cycle-time reduction, cost avoidance, and quality improvement.
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