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Robotic Process Automation Manager Jobs in Teaneck, NJ

AirPay

Principal Automation Engineer

Manhattan, NY · On-site

Your expertise in web automation, RPA, and API integrations will be crucial in streamlining ... Project Management: Lead complex automation projects from conception to completion, including ...

Merck & Co.

Process Intelligence Specialist

Elmora, NJ · On-site

$79 - $125/hr

Using technologies such as Databricks, Celonis, Power Platform, RPA, and AI , you will identify ... Required SkillsBacklog Management, Backlog Management, Business Analytics, Business Informatics ...

Pace

Member of Technical Staff

Manhattan, NY · On-site

They are seeking a Member of Technical Staff to contribute to backend engineering, full-stack RPA/web automation, and enterprise engineering for their largest users. Responsibilities : • partner ...

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All JobsRobotic Process Automation JobsRobotic Process Automation Manager JobsRobotic Process Automation Manager Jobs in Teaneck, NJ

Robotic Process Automation Manager information

See Teaneck, NJ salary details

$34.2K

$128.5K

$186.9K

How much do robotic process automation manager jobs pay per year?

As of Aug 30, 2026, the average yearly pay for robotic process automation manager in Teaneck, NJ is $128,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $153,200.00 per year, depending on experience, location, and employer.

What does a Robotic Process Automation Manager do?

A Robotic Process Automation (RPA) Manager oversees the deployment, management, and optimization of software robots that automate repetitive business processes. They collaborate with various departments to identify automation opportunities, lead RPA projects, and ensure that automated solutions align with organizational goals. Additionally, RPA Managers are responsible for managing teams of RPA developers, maintaining compliance standards, and measuring the effectiveness of automation initiatives to drive operational efficiency.

What are the key skills and qualifications needed to thrive as a Robotic Process Automation Manager?

To thrive as a Robotic Process Automation Manager, you need expertise in process analysis, automation strategy, and experience with RPA platforms, typically supported by a degree in computer science, engineering, or related fields. Familiarity with tools like UiPath, Blue Prism, Automation Anywhere, and certifications in RPA technologies are highly valued. Strong leadership, problem-solving, and communication skills help drive cross-functional teams and manage change effectively. These skills ensure successful automation initiatives, improved operational efficiency, and alignment with business objectives.

What are some common challenges faced by a Robotic Process Automation Manager when scaling RPA initiatives across an organization?

A Robotic Process Automation Manager often encounters challenges such as managing change resistance among employees, ensuring robust governance for bot deployment, and integrating RPA solutions with legacy systems. Balancing speed of implementation with thorough process documentation and compliance requirements is also vital. Collaboration with IT, business analysts, and process owners is crucial to address these challenges and ensure successful scaling of automation across the enterprise.

What is the difference between Robotic Process Automation Manager vs Robotic Process Automation Developer?

AspectRobotic Process Automation ManagerRobotic Process Automation Developer
CredentialsTypically requires a bachelor’s degree in IT, computer science, or related field; certifications like UiPath or Automation Anywhere are commonSimilar credentials; often holds certifications in RPA tools and programming languages
Work EnvironmentLeads teams, manages projects, and oversees RPA implementation in organizationsFocuses on designing, developing, and testing RPA solutions
Employer & Industry UsageUsed across industries for process automation, often in managerial or strategic rolesPrimarily in IT or automation teams, executing technical tasks

The Robotic Process Automation Manager oversees RPA projects and teams, focusing on strategy and implementation, while the Robotic Process Automation Developer concentrates on creating and coding automation solutions. Both roles require similar technical credentials but differ in scope and responsibilities.

What cities near Teaneck, NJ are hiring for Robotic Process Automation Manager jobs?

Cities near Teaneck, NJ with the most Robotic Process Automation Manager job openings:

Robotic Process Automation Manager jobs near you
Infographic showing various Robotic Process Automation Manager job openings in Teaneck, NJ as of July 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $128,548 per year, or $61.8 per hour.

Principal Engineer/Business Process

ITBMS Inc.

Manhattan, NY • On-site

Other

Posted 3 days ago

New

Job description

• Design the technical architecture for how AI/automation components (agents, RPA, workflow engines, LLM-based services) integrate with core LoB systems, including CRM, ERP, finance, property/asset management, and other domain platforms, covering system-of-record decisions, API contracts, event schemas, and middleware/integration layer design.
• Work directly with business stakeholders to reverse-engineer current-state processes that span disconnected systems and teams. Model them formally (BPMN, value-stream maps) and translate them into technical requirements and system interaction diagrams, not just narrative process maps.
• Trace and document data lineage across systems, including sources of truth, transformation points, latency, duplication, and quality issues. Design target-state data flows (batch, event-streaming, real-time API) that support reliable automation and are resilient to the realities of legacy LoB systems.
• Assess where AI genuinely fits (classification, extraction, agentic workflows, prediction) versus where deterministic automation (RPA, rules engines, iPaaS) is the right tool, and design the technical pattern, including error handling, human-in-the-loop checkpoints, and observability.
• Define and enforce integration standards (API design, auth/security patterns, data contracts, versioning) across automation initiatives so point solutions don't calcify into new technical debt.
• Act as the technical counterpart in business workshops, translating business pain points into architecture decisions in real time, and translating architecture trade-offs back into terms business stakeholders can decide on.
• Evaluate vendor/platform options (iPaaS, RPA platforms, LLM/agent frameworks) against the actual technical constraints of our LoB systems, and make build/buy/integrate recommendations with supporting architecture rationale.
• Produce a phased technical roadmap for automation/AI rollout that accounts for system dependencies, data readiness, and integration risk, not just business priority.
Basic Qualifications
• 8+ years in a senior/staff/principal engineering role, with direct ownership of integration architecture, data architecture, or platform architecture in a multi-system environment.
• Demonstrated fluency in integration patterns: REST/GraphQL APIs, event-driven architecture (Kafka, EventBridge, etc.), ETL/ELT, iPaaS (MuleSoft, Boomi, Workato), and message-oriented middleware.
• Real experience designing data architecture: data models, data lineage, master data management, and system-of-record decisions across disparate LoB platforms.
• Working technical knowledge of AI/automation implementation. Not vendor buzzwords, but an understanding of where LLM-based agents, RPA, and rules engines actually sit in a technical stack, their failure modes, and their integration requirements.
• Proven ability to formally model business processes (BPMN 2.0 or equivalent) and convert them into technical specifications engineering can build from.
• Strong grasp of enterprise architecture frameworks (TOGAF or equivalent), comfortable producing current-state/target-state architecture views, not just point diagrams.
• Track record of leading technical conversations with non-technical business stakeholders without losing precision, and leading architecture reviews with engineers without losing the business context.
• Security and governance instincts: data privacy, access control, and audit requirements are second nature when designing integrations that touch multiple LoB systems.
Preferred Qualifications
• Hands-on experience with agentic/LLM frameworks (LangChain, MCP-based architectures, Claude/OpenAI APIs) in production integrations, not just pilots.
• Experience with RPA platforms (UiPath, Power Automate, Automation Anywhere) and their limitations at scale.
• Familiarity with our industry's core LoB systems (e.g., Yardi, MRI, Salesforce, SAP, NetSuite).
• Experience standing up an architecture governance model or center of excellence for AI/automation initiatives.
• Relevant certifications (TOGAF, AWS/Azure/Google Cloud Platform solutions architect, relevant integration platform certs).

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