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Automation team lead | hybrid model

Page Personnel
Modelo
Publicada el 1 agosto
Descripción

• Lead, mentor, and manage a team of RPA developers and automation specialists.
• Prioritize and oversee the execution of automation projects, ensuring timely and high-quality delivery.
• Collaborate with business units to identify automation opportunities and define project scopes.
• Oversee the design, development, testing, and deployment of RPA solutions.
• Ensure adherence to best practices, coding standards, and governance frameworks.
• Provide hands-on support in complex automation design and development when needed.
• Guide the integration of AI technologies (e.g., Azure OpenAI) into automation workflows.
• Ensure the scalability, maintainability, and performance of automation solutions.
• Act as the primary point of contact for automation initiatives across departments.
• Communicate project progress, risks, and outcomes to senior management and stakeholders.
• Promote a culture of continuous improvement and innovation.
• Identify training needs and support the professional development of team members. • Proven experience in leading RPA/automation teams and delivering enterprise-level automation solutions.
• Strong technical background in RPA tools such as UiPath, Power Apps, Automation Anywhere.
• Experience with AI/ML integration, particularly using Azure OpenAI or similar platforms.
• Proficiency in programming languages such as Python, C#, VB.NET, or Java.
• Familiarity with web technologies, APIs, and data integration methods.
• Basic knowledge of Power BI for creating dashboards and visualizing automation performance metrics
• Deep understanding of process analysis, workflow design, and automation best practices.
• Excellent leadership, communication, and stakeholder management skills.
• Ability to manage multiple projects and priorities in a dynamic environment.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• RPA certification(s) from UiPath, Blue Prism, Automation Anywhere, or other similar tools is a plus.
• Experience with cloud platforms (especially Azure) and AI/ML tools is a strong advantage.

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