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RPA Solutions Architect
1 month ago
We are seeking a skilled RPA Solutions Architect to lead our team in designing and implementing Robotic Process Automation (RPA) solutions that optimize business processes and improve operational efficiency.
Key Responsibilities:- RPA Architecture Design: Lead the design of scalable, secure, and efficient RPA architecture for automating repetitive tasks across different business functions.
- Process Evaluation & Optimization: Collaborate with business teams to assess current processes, identify automation opportunities, and recommend improvements using RPA technologies.
- Technical Leadership: Oversee the development and deployment of RPA solutions, guiding developers and ensuring adherence to best practices in automation design and implementation.
- Tool Selection & Integration: Evaluate and select RPA tools (e.g., UiPath, Blue Prism, Automation Anywhere) based on organizational requirements. Ensure proper integration with existing IT systems and applications.
- Governance & Compliance: Implement governance frameworks for RPA projects to ensure compliance with data privacy, security policies, and industry regulations.
- Performance Monitoring & Maintenance: Monitor RPA systems post-deployment, troubleshoot any issues, and optimize solutions for better performance and cost-efficiency.
- Documentation & Reporting: Maintain detailed documentation of RPA architecture, technical designs, and workflow processes. Provide regular updates to senior management and business stakeholders.
- Team Collaboration & Training: Work closely with business analysts, IT teams, and developers to ensure seamless collaboration. Provide mentorship to junior developers and assist in their professional growth.
- Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
- Experience: 5+ years of experience in RPA design and implementation.
- Skills: Hands-on experience with at least one RPA tool (e.g., UiPath, Automation Anywhere, Blue Prism). Professional experience in AI (artificial intelligence), machine learning, or data science. Experience with Agile methodologies. Strong knowledge of process automation, systems integration, and business process improvement. Solid programming skills in C#, Python, Java, or other relevant languages. Understanding of IT infrastructure, cloud computing, databases, and APIs.