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Robotic Process Automation Program Manager information

How does a robotic process automation program manager typically collaborate with cross-functional teams during an RPA implementation?

A Robotic Process Automation Program Manager works closely with business stakeholders, IT professionals, and process owners to identify automation opportunities and ensure successful RPA deployments. They facilitate communication between technical teams and business units, aligning project goals with organizational objectives. Managing timelines, resource allocation, and change management are key responsibilities, as is handling feedback and resolving issues swiftly. Effective collaboration is essential for overcoming challenges such as resistance to change and ensuring the RPA solution integrates smoothly with existing workflows.

What are the key skills and qualifications needed to thrive as a robotic process automation program manager?

To thrive as a Robotic Process Automation (RPA) Program Manager, you need strong project management experience, a background in business process analysis, and a solid understanding of automation technologies, often supported by a degree in computer science or a related field. Familiarity with RPA platforms such as UiPath, Blue Prism, or Automation Anywhere, and relevant certifications like PMP or RPA-specific credentials, are typically required. Excellent communication, leadership, and stakeholder management skills set top performers apart. These competencies ensure the effective planning, implementation, and scaling of automation initiatives that drive organizational efficiency and value.

What is a robotic process automation program manager?

A Robotic Process Automation (RPA) Program Manager is responsible for overseeing the planning, implementation, and management of RPA initiatives within an organization. They coordinate cross-functional teams to identify automation opportunities, manage project timelines, and ensure successful deployment of bots that automate repetitive business processes. Additionally, they monitor program performance, optimize workflow, and ensure compliance with organizational standards and best practices. Their goal is to improve operational efficiency through effective automation strategies.

What is the difference between Robotic Process Automation Program Manager vs Business Analyst?

AspectRobotic Process Automation Program ManagerBusiness Analyst
CertificationsRPA certifications, PMP, AgileCBAP, PMI-PBA, Agile certifications
Work EnvironmentProject teams, IT departments, automation projectsBusiness units, project teams, process improvement
Industry UsageFinance, healthcare, manufacturing, technologyFinance, retail, healthcare, consulting

The Robotic Process Automation Program Manager focuses on leading automation projects, managing teams, and ensuring successful RPA implementation. In contrast, a Business Analyst analyzes business processes, gathers requirements, and supports process improvements. While both roles collaborate on projects, the RPA Program Manager has a broader leadership role in automation initiatives, whereas the Business Analyst concentrates on understanding and documenting business needs.

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Robotic Process Automation Program Manager jobs near you

AI/Automation Architect

Norman Regional Health System

Norman, OK • On-site

Full-time

Re-posted 17 days ago

Norman Regional Health System rating

7.4

Company rating: 7.4 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

265th of 887 rated healthcare providers

Job description

Job Summary
The AI & Automation Architect is responsible for designing the end-to-end technical strategy for the organization's intelligent automation initiatives. This role involves selecting the right mix of technologies (RPA, Generative AI, Machine Learning, IDP) to solve complex business problems. The Architect ensures that solutions are scalable, secure, and cost-effective, moving beyond simple task automation to full-scale process transformation.
  • Design scalable architectures for intelligent automation solutions, integrating RPA bots with AI models (e.g., using LLMs for decision-making within an RPA workflow)
  • Evaluate and select appropriate platforms and tools based on cost, security, and fit
  • Define how automation tools communicate with enterprise systems via APIs, webhooks, or database connections
  • Establish coding standards, reusable component libraries, and best practices for development teams to ensure consistency
  • Work with InfoSec to ensure all AI/automation workflows comply with data privacy laws (GDPR/CCPA/HIPAA) and internal security policies (e.g., PII masking, role-based access control)
  • Oversee the infrastructure sizing to support bots and high-volume AI inference requests
  • Collaborate with business analysts to determine if a process should be automated and how
  • Lead rapid Proof of Concept (PoC) projects to test emerging technologies before enterprise rollout
  • Design the "Control Room" strategy for monitoring bot health, AI model drift, and license utilization
  • Disaster Recovery: Create failover strategies to ensure business-critical automations continue running during system outages

Typical Duties:
  • Meeting with Health system leaders to analyze a proposed process and determining if it requires simple RPA, complex AI (e.g., OCR/NLP), or if it shouldn't be automated at all
  • Drafting technical blueprints that detail exactly how a bot will log in, where data will be stored, how exceptions are handled, and which AI models will be called
  • Researching and testing new AI tools to see if they fit the health systems tech stack better than current tools
  • Designing and documenting the REST/SOAP API integrations between the automation platform and third-party apps
  • Calculating the necessary compute power (CPU/RAM/GPU) required for upcoming automations and provisioning Virtual Machines (VMs)
  • Configuring "Credential Vaults" so bots can log into systems without exposing passwords in the code
  • Building and maintaining a library of "snippets" that all developers must use to save time
  • Monitors bot health to ensure critical automations ran successfully overnight
  • Troubleshoot complex failures that regular support teams cannot fix
  • Planning and executing upgrades for the automation platform without breaking existing bots
  • Facilitating whiteboard sessions with non-technical departments to uncover their pain points
  • Prompt engineering for business logic, understanding "context windows," and mitigating AI hallucinations in enterprise data.
  • Experience with OCR and data extraction tools.
  • Python, C#/.NET
  • PowerShell or Bash for infrastructure tasks.
  • Ability to design solutions that can handle spikes in volume.
  • Knowledge of load balancing and concurrent processing.
  • Understanding of RBAC (Role-Based Access Control).
  • Secure credential management.
  • Understanding of Virtual Machines (VMs), VDI (Virtual Desktop Infrastructure), and Docker/Kubernetes.
  • Setting up pipelines to automate the testing and deployment of bots.
  • Version control (Git) strategies for automation teams.

Qualifications
Education
  • Bachelor's degree in Computer Science, Data Science, or a related engineering discipline or equivalent experience required.

Licensure/Certification
  • Prefer candidate holds an advanced professional certification in a major automation platform, such as the UiPath Certified Professional Automation Solutions Architect or Microsoft Power Platform Solution Architect

(Above requirements can be met by equivalent combination of education and experience)
Experience
  • 7+ years of IT experience, including at least 4 years designing scalable RPA and intelligent automation solutions using platforms like UiPath or Power Automate
  • Demonstrated expertise in integrating generative AI, machine learning models, and complex APIs into business workflows is essential
  • Proven leadership in guiding technical teams through the full software development lifecycle (SDLC) within an Agile environment is required
  • Experience translating business requirements into technical blueprints and managing stakeholder expectations is critical for success in this role

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