Sr. Manager of RPA

Preferred Skills and Experience:

10+ years experience in software engineering and automation

3+ years experience leading application, automation, or smart platform engineering teams

Well versed in the follwing technologies:

• UiPath: Deep knowledge of UiPath orchestrator, robots, and advanced automation workflows
• ServiceNow: Experience in ServiceNow workflow engines, integration hub
• Microsoft Power Automate: Strong background in Power Automate cloud flows, desktop flows, and Dataverse
• Artificial Intelligence: Hands-on experience with AI agents, machine learning models, and cognitive services

Proactive technical debt management as well as a strong grasp of Agile delivery and DevOps practices for automation (CI/CD).

Day to day:

An 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 Responsibilities

• Team Leadership: Lead and mentor a team of high-performing software engineers, technical leads, and platform architects
• Platform 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 systems
• AI Integration: Embed generative and traditional AI tools into workflows to boost system smarts
• Governance & 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.