Technical Consultant, Healthcare Revenue Cycle Implementation - Remote
Franklin, Williamson County, Tennessee, 37068, USA
Listed on 2025-12-24
-
IT/Tech
IT Consultant, Cloud Computing, Technical Support, Data Analyst
Technical Consultant, Healthcare Revenue Cycle Implementation - Remote
- Full-time
- Employee Status:
Regular - Role Type:
Home - Job Posting - Salary Range: $89,865 - $155,767
- Department:
Customer Service - Flexible Time Off: 15 Days
- Schedule:
Full Time - Shift: Day Shift
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at .
As a Technical Consultant in Implementation, you will report to Experian Health, serve as a hands‑on technical expert and subject matter authority for implementing complex healthcare software solutions.
You will advise clients and internal stakeholders, leverage advanced technical knowledge of Healthcare Revenue Cycle and Experian Health solutions. You will apply modern AI capabilities to provide impactful results, configure and implement Experian Health software solutions for clients.
You will focus on deploying Experian’s software solutions for both front‑end patient access and back‑end revenue cycle management operations within healthcare organizations.
Key Responsibilities- Lead technical discussions for product integrations spanning multiple applications.
- Consult with clients and internal partners, explaining complex solution methodologies and implementation results to both technical and non‑technical audiences.
- Present technical concepts to non‑technical audiences, distilling details into clear, relevant business narratives.
- Use AI and generative AI tools (e.g., Copilot, ChatGPT) to provide the latest healthcare solutions and support client adoption of Experian’s advanced capabilities.
- Document and analyze client requirements, contributing to end‑to‑end implementation success with a client‑first approach.
- Manage multiple high‑profile, complex technical implementation projects concurrently.
- Collaborate with project managers, product managers, software development managers, and implementation teams to ensure delivery of solutions to customers.
- Conduct technical presentations, demonstrations, and workshops for clients and internal cross‑team partners.
- Create comprehensive documentation for technical implementation operations and processes.
- Track technical project progress, manage timelines, and ensure all partners are informed and engaged, keeping projects on track to meet client KPIs.
- Advance goals related to implementation operations and recommend improvements based on performance data.
- Up to 10% travel required.
- 3+ years’ healthcare revenue cycle experience.
- Technical background with experience building scalable, cloud‑native software solutions.
- Experience managing complex and cross‑team projects in healthcare IT or related fields.
- Exposure to automation centers of excellence and enterprise‑scale AI programs.
- 3 years’ experience in health software implementation consulting.
- 3+ years of revenue cycle experience in a hospital environment.
- Training background.
- Epic and Cerner Oracle domain knowledge.
- Expertise in JIRA, Confluence, Salesforce, Excel, PowerPoint, Visio, and Microsoft Teams.
- Familiarity with cloud solutions (e.g., AWS) and enterprise‑scale AI transformation programs.
- Knowledge of analytical techniques, decision tools, statistical analysis, machine learning, predictive modeling, and data mining.
- Great compensation package and bonus plan.
- Core benefits including medical, dental, vision, and matching 401(k).
- Flexible work environment, ability to work…
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