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Director Rpa Jobs in Kansas (NOW HIRING)

... RPA, DevOps) • QA & Automation (Manual Testing, Non-functional testing, Test Automation, Digital Testing) • Enterprise Applications (SAP, Java Full stack, Microsoft, Custom Development) • ...

Market Manager

Wichita, KS · On-site

$50K - $55K/yr

Direct impact on sales and operational success * Build and develop high-performing teams * Strong ... Knowledge of SSL, SLII, and RPA Leadership Models REQUIRED * Microsoft Word, Excel, Outlook, and CR ...

Market Manager

Wichita, KS · On-site

$50K - $55K/yr

... Direct impact on sales and operational success Build and develop high-performing teams Strong ... of SSL, SLII, and RPA Leadership Models REQUIRED Microsoft Word, Excel, Outlook, and CRM ...

Radiology Physician

Hutchinson, KS · On-site

$277K - $347K/yr

Joining 2 Radiologist with a RPA Compensation & Benefits include: * Collaborate with top primary care and specialist * Enjoy a greater work life balance * Have the freedom of a physician-owned ...

Help Desk Analyst I

Topeka, KS · On-site

$19.25 - $26.25/hr

... RPA, DevOps) • QA & Automation (Manual Testing, Non-functional testing, Test Automation, Digital Testing) • Enterprise Applications (SAP, Java Full stack, Microsoft, Custom Development) • ...

Help Desk Analyst I

Topeka, KS · On-site

$19.25 - $26.25/hr

Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights) Digital Transformation (Cloud Computing, Mobility, Micro Services, RPA, DevOps ...

Showing results 21-40

Director Rpa information

What is a director of RPA?

A Director of Robotic Process Automation (RPA) is a senior leader responsible for overseeing the strategy, implementation, and management of RPA initiatives within an organization. This role involves identifying processes that can be automated, leading teams to develop and deploy automation solutions, and ensuring that RPA aligns with business goals. The Director of RPA also monitors performance, manages budgets, and keeps up with trends in automation technology. Their work helps organizations improve efficiency, reduce costs, and streamline operations.

What are the key skills and qualifications needed to thrive as a director of RPA, and why are they important?

To thrive as a Director of RPA, you need a solid background in process automation, project management, and business analysis, often supported by a relevant degree and experience leading automation initiatives. Familiarity with RPA platforms like UiPath, Automation Anywhere, or Blue Prism, as well as certifications in these tools, is crucial for overseeing successful deployments. Strategic thinking, leadership, and strong communication skills help drive collaboration across departments and secure stakeholder buy-in. These competencies are essential to ensure seamless automation implementation that aligns with organizational goals and delivers measurable value.

What are the main challenges a director of RPA faces when scaling automation initiatives across multiple departments?

A Director of RPA often encounters challenges such as aligning automation goals with varied departmental processes, managing change resistance among staff, and ensuring that automation solutions are robust and secure. Coordinating with IT, business analysts, and department heads is essential to identify the best opportunities for automation and to standardize practices. Additionally, maintaining clear communication and providing ongoing training are crucial for successful adoption and scaling of RPA across the organization.

What is the difference between Director Rpa vs Rpa Developer?

AspectDirector RpaRpa Developer
Required CredentialsTypically requires a Bachelor's degree in Computer Science or related field, with experience in RPA tools and leadership certificationsRequires a Bachelor's degree in Computer Science, Software Engineering, or related field, with proficiency in RPA tools
Work EnvironmentLeads RPA teams, manages projects, and collaborates with stakeholders at an organizational levelDevelops, tests, and maintains RPA bots within a team or project setting
Employer & Industry UsageUsed in large enterprises across finance, healthcare, and manufacturing for automation strategyEmployed in similar industries for automation development and implementation

The main difference between a Director Rpa and an Rpa Developer lies in their responsibilities and seniority. The Director Rpa oversees automation strategies and manages teams, while the Rpa Developer focuses on building and maintaining automation bots. Both roles require knowledge of RPA tools, but the Director Rpa typically has more leadership and strategic planning experience.

What are the most commonly searched types of Rpa jobs in Kansas?

The most popular types of Rpa jobs in Kansas are:

What job categories do people searching Director Rpa jobs in Kansas look for?

The top searched job categories for Director Rpa jobs in Kansas are:

Infographic showing various Director Rpa job openings in Kansas as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 57% In-person, and 43% Remote job distribution.

Senior AI Forward Deployed Engineer (Microsoft Copilot & Enterprise AI)

Saicon Consultants Inc.

Lenexa, KS • On-site

$98K - $134K/yr

Other

Posted 3 days ago

New


Job description

Job Description:
Our client is scaling its use of Microsoft Copilot as part of a broader enterprise AI transformation initiative. We''re looking for a Senior AI Forward Deployed Engineer (FDE) to embed directly with the client''s technical and business teams, own the end-to-end delivery of Copilot-powered solutions, and help shape the client''s wider AI roadmap. This is a hands-on, client-facing role for someone who can move fluidly between writing code, designing architecture, and advising stakeholders.
What You''ll Do
  • Embed onsite with the client to scope, design, and deliver solutions built on Microsoft Copilot (M365 Copilot, Copilot Studio, and related Microsoft AI/Power Platform tooling).
  • Build and deploy custom copilots, plugins, and agents that integrate with the client''s enterprise data, systems, and workflows.
  • Lead adoption and change management for Copilot rollout across business units — training, enablement, and driving measurable usage outcomes.
  • Partner with client stakeholders (IT, business unit leads, and executives) to identify high-value AI use cases beyond Copilot and translate them into technical roadmaps.
  • Act as the technical point of contact on the ground — troubleshoot issues in real time, iterate quickly based on user feedback, and adapt solutions to the client''s evolving needs.
  • Ensure solutions align with the client''s security, compliance, and data governance requirements (Microsoft 365, Azure AD/Entra, data residency, etc.).
  • Document architecture, decisions, and playbooks so solutions are maintainable by the client''s internal team post-engagement.
What We''re Looking For
  • 5–8+ years in software engineering, solutions architecture, or a forward-deployed/customer-facing technical role.
  • Hands-on experience with Microsoft Copilot (M365 Copilot and/or Copilot Studio) or comparable enterprise AI/LLM deployment experience, with strong ability to ramp quickly.
  • Practical experience building on the Microsoft ecosystem: Power Platform, Azure OpenAI/Azure AI Foundry, Graph API, SharePoint, Teams, and Entra ID.
  • Proven track record scoping and delivering technical projects directly with enterprise clients or internal business stakeholders — comfortable owning ambiguity.
  • Strong communication skills; able to translate technical tradeoffs for non-technical executives and translate business goals into technical specs.
  • Experience with change management and driving adoption of new tools across a large user base.
  • Solid understanding of enterprise data governance, security, and compliance considerations for AI deployments.
Nice to Have
  • Prior experience as a Forward Deployed Engineer, Solutions Engineer, or Implementation Consultant at an enterprise software or AI company.
  • Microsoft certifications (e.g., Power Platform, Azure AI Engineer Associate, Microsoft 365 Certified).
  • Experience with broader enterprise AI/automation platforms beyond Microsoft (e.g., other LLM providers, RPA tools).
  • Background in management consulting or client-facing professional services.