Manager, Clinical Applications & Data Integration
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 10d ago
The date the source published, not the day we noticed it (2026-09-22). Last seen at its source 1h ago.
We have tracked this listing since 22 Sep 2026 (10 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 10d ago · last seen 1h ago
The listing
Your Opportunity
As a Manager, Clinical Applications & Data Integration at Vytalize Health, you'll be a key member of the Quality & Clinical App Enablement team, responsible for the day-to-day execution of EHR integrations, clinical data feed operations, and clinical data optimization across our ACO partner network. This role combines hands-on EHR integration expertise with practice engagement and workflow optimization to keep clinical data flowing accurately from partner EHRs into Vytalize. The ideal candidate is comfortable working directly with provider practices and clinical staff on EHR workflows while coordinating with internal engineering and vendors to ensure clinical data integrity.
What You Will Do
Manage a team of Clinical Applications Specialists, providing day-to-day direction, mentorship, and escalation support
Serve as a subject matter expert for EHR systems and clinical applications, owning issue resolution end-to-end
Manage clinical data integration activities including data feed operations, vendor coordination, and integration deployments by ensuring data flowing from partner EHRs into downstream infrastructure is complete and accurate
Identify and remediate data gaps in collaboration with internal engineering, EHR vendors, and partner practices
Support QRDA I file acquisition and submission, including extraction coordination, file validation, and error follow-up with practices and vendors
Support EHR workflow guidance and optimization at partner practices, driving discrete data capture at the point of care
Collaborate with Practice Transformation Managers, Operations, and internal technology teams on EHR optimization efforts and clinical application implementation
What Will Make You Successful Here
Required Qualifications
Bachelor's degree in Information Systems, Healthcare Administration, Business, or related field
4–5 years of experience in healthcare data integration, EHR operations, or clinical application management
Hands-on experience with EHR integrations such as setting up integrations, troubleshooting data quality issues, and coordinating with vendors on resolution
Experience working directly with provider practices, clinical staff, or Practice Transformation teams
Experience with EHR platforms including Epic, Athenahealth, eClinicalWorks, Oracle (Cerner), Practice Fusion, or similar systems
Familiarity with ACO programs including MSSP, ACO REACH, or Medicare Advantage
Familiarity with HL7, FHIR, CCD-A, QRDA I, and flat file clinical data standards
Prior team lead or mentorship experience
Strong project management and cross-functional coordination skills
Excellent organizational and communication skills with an emphasis on problem-solving and accountability
Preferred Qualifications
Experience working within cloud-based data environments (Databricks, Azure, or equivalent)
Familiarity with the clinical data model or similar standardized clinical data frameworks
SQL proficiency sufficient to query and validate data and identify field-level gaps
Knowledge of clinical workflow analysis techniques and structured data capture strategies