RPA (UiPath ) Solutions Architect - Healthcare

Job Title : RPA (UiPath ) Solutions Architect - Healthcare

Location : Remote

Job Type : Contract / Consultant

Duration : 6 months

About BigRio :

BigRio is a remote-based, technology consulting firm with headquarters in Boston, MA. We deliver software solutions ranging from custom development and software implementation to data analytics and machine learning / AI integrations. As a one-stop shop, we attract clients from a variety of industries due to our proven ability to deliver cutting-edge, cost-effective software solutions.

We are committed to driving innovation and operational excellence for our clients, and we are looking for an experienced Revenue Cycle Management (RCM) Consultant with expertise in UiPath, RPA, and a data engineering background to help optimize revenue cycle processes through automation. This is a fantastic opportunity to join a fast-paced, dynamic team and work on impactful projects across industries.

Job Summary :

As a RPA UiPath Architect for Healthcare at BigRIO, you will work with our healthcare clients to architect the RPA UiPath solutions in the Healthcare provider setting.

You will be responsible for designing the solutions architecture and integrations with enterprise systems including Epic EMR / EHR.

Solutions will include improving and automating their revenue cycle management operations. This is a technical role that requires a deep understanding of both RPA tools like UiPath and the technical knowledge to handle data integration, transformation, and workflow automation. Your data engineering skills will be key to developing robust automation solutions that enhance billing, claims processing, payment posting, and collections.

You will collaborate with client teams to assess existing processes, develop tailored automation strategies, and ensure successful implementation. Flexibility in scheduling may be required to accommodate client needs, and a solid technical background in data engineering is essential to integrate automation solutions seamlessly across systems.

Key Responsibilities :

• Overall RCM Solution Architecture, Process Assessment & Optimization, Integration design with Enterprise systems
• Conduct a thorough review of the client’s current revenue cycle management (RCM) processes, identifying inefficiencies and recommending technical solutions for optimization.

Design automation solutions that not only improve RCM workflows but also ensure robust data management, integration, and reporting.

Utilize your data engineering skills to work with large datasets, ensure data integrity, and integrate RPA solutions with existing enterprise systems (e.g., EMR, PMS, billing platforms).

Monitor, troubleshoot, and enhance automated workflows to ensure consistent and accurate performance.

Use your data engineering expertise to transform and clean data, enabling automation processes to run efficiently across disparate systems.

Design data pipelines and automate data flows to ensure seamless transfer of information across RCM systems.

Provide training and guidance to client teams to help them operate, maintain, and scale automation solutions post-implementation.

Provide regular project updates to clients and internal teams, ensuring alignment on key objectives, risks, and progress.

Measure the impact of RPA solutions and provide post-implementation support to ensure continuous improvement.

Stay up-to-date with advancements in RPA, data engineering, and healthcare technology to ensure solutions remain cutting-edge.

Proactively identify new automation opportunities within the client’s revenue cycle processes based on data-driven insights.

Qualifications : Education :

Bachelor’s degree in Data Engineering, Computer Science, Healthcare Administration, Business, Information Technology, or a related field. Equivalent work experience may also be considered.

Experience :

5 years of experience in Revenue Cycle Management (RCM), with strong knowledge of healthcare billing, coding, claims lifecycle, and payer interactions.

3 years of hands-on experience mainly with UiPath or other RPA tools (e.g., Automation Anywhere, Blue Prism).

Proven track record of implementing RPA solutions within RCM processes, including automation of claims validation, payment posting, and reporting.

Strong experience in data engineering—including data transformation, integration, and pipeline creation—especially in the context of healthcare or financial data systems.

Technical Skills :

Proficiency in UiPath Studio, Orchestrator, and UiPath Robots.

Strong background in data engineering, with experience in handling large datasets, data integration, ETL processes, and database management.

Familiarity with programming and scripting languages (e.g., Python, SQL, PowerShell) to manage data flows and automate processes.

Experience with cloud platforms, databases (SQL / NoSQL), and integration tools is a plus.

Knowledge of business intelligence tools and data analytics platforms is beneficial.

Soft Skills :

Strong communication and interpersonal skills to collaborate effectively with clients and internal teams remotely.

Excellent problem-solving and analytical abilities, especially in handling complex data sets and developing automation solutions.

Ability to manage multiple projects and deadlines while ensuring high-quality deliverables.

Self-driven, detail-oriented, and capable of working independently in a remote setting.

Flexibility in scheduling to accommodate client needs, especially in different time zones or with tight deadlines.

Equal Opportunity Statement :

BigRio is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.