Senior Associate Data Migration Consultant

Job Description

Job Description

RLDatix is on a mission to transform care delivery worldwide, ensuring every patient receives the safest, highest-quality care. Through our innovative Healthcare Operations Platform, we’re connecting data to unlock trusted insights that enable improved decision-making and help deliver safer healthcare for all. 

 

Job Description 

RLDatix (RLD) is on a mission to help raise the standard of care…everywhere. Trusted by over 10,000 healthcare organizations around the world, our solutions help improve health and care. Our applications ensure that patients receive the best and safest care while supporting the providers who deliver it. 

Joining TeamRLD means being part of a global effort of over 2,000 team members making a difference in healthcare…every day. 

As a Senior Associate Data Migration Consultant, you will independently deliver complex, technical solutions for healthcare clients, leveraging your expertise in EMRs, system integrations, and custom development. You’ll diagnose and resolve moderate-scope technical issues, apply AI and automation to optimize workflows, and manage project costs to ensure value-driven outcomes. Collaborating closely with client and internal teams, you’ll execute custom migrations, implement scalable architectures, and support advanced service requests. Your role blends solution orientation and partnership excellence to fulfil short-term objectives while enhancing service reliability and customer success within the Services Delivery team. 

 

How You’ll Spend Your Time 

• Delivering data migration solutions to support healthcare system implementations and upgrades 

• Diagnosing and resolving technical issues in order to ensure reliable and efficient service delivery 

• Collaborating with clients and cross-functional teams to align on technical requirements and project objectives 

• Applying AI and automation tools to enhance workflow efficiency and improve data quality outcomes 

• Executing testing and validation procedures to ensure accuracy, compliance, and integrity of migrated data 

 

What Kind of Things We’re Most Interested in You Having 

• Experience implementing or supporting Epic, preferably in an analyst role

• Comfortable using Microsoft Office applications (Excel, Outlook, PowerPoint, Word)

• Available occasional evenings and weekends for go-live support

• Demonstrated experience in supporting complex technical projects, including data migration, custom integrations, and advanced configuration within healthcare technology environments (e.g., EMRs, HL7, CCDA) 

• Proven ability to systematically diagnose and resolve moderate-scope technical challenges using analytical thinking, debugging techniques, and established troubleshooting protocols 

• Skilled in collaborating with cross-functional teams and clients to fulfil short-term project objectives, balancing stakeholder requirements and ensuring high-quality service delivery outcomes.

• Basic knowledge of AI and automation use cases in customer service workflows, with experience applying automation protocols and conducting quality checks to enhance service efficiency.

 

By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. Our benefits package includes health, dental, vision, life, disability insurance, 401K, paid time off, and paid holidays. 

RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by Federal and/or State laws. 

As part of RLDatix’s commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don’t hesitate to send a note to View email address on us.fitly.work.

Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also taken into consideration.