Sr Healthcare Data Strategist

Slalom•Minneapolis, MN

36d•$122,000 - $225,000

About The Position

We are seeking a detail-oriented and technically skilled Healthcare Data Architect to support the integration, analysis, and governance of clinical and administrative health data. This role is ideal for someone with a strong foundation in data migrations, modernizations, modeling, healthcare interoperability standards and a passion for improving data quality and accessibility across systems. This individual would be

Requirements

Bachelor's degree in Health Informatics, Computer Science, Information Systems, or a related field (or equivalent experience).
Certification in HL7, FHIR, or related interoperability standards.
5+ years of experience in healthcare data analysis or integration.
Proficiency with HL7 (v2.x, v3), FHIR, and CDA standards.
Experience working with OMOP CDM and tools such as OHDSI Atlas.
Experience with Epic, Cerner or EHR data, Claims data
Familiarity with TEFCA framework and its implications for data exchange.
Strong SQL skills and experience with data transformation tools (e.g., Mirth Connect, Rhapsody).
Understanding of clinical terminologies such as SNOMED CT, LOINC, ICD-10, and RxNorm.
Excellent problem-solving, communication, and documentation skills.

Nice To Haves

Experience with cloud-based data platforms and APIs.
Knowledge of public health reporting and population health analytics.

Responsibilities

Design, implement, and maintain data integration workflows using HL7 (v2.x, v3), FHIR, and TEFCA-aligned protocols.
Monitor and troubleshoot data pipelines, ensuring timely and accurate data delivery.
Analyze and map healthcare data to the OMOP Common Data Model (CDM) to support research, analytics, and regulatory reporting.
Develop FHIR resources and profiles, ensuring they conform to implementation guides and regulatory requirements (e.g., US Core, Da Vinci).
Create and maintain HL7 v2 interfaces (ADT, ORU, ORM, etc.) and monitor message flow to guarantee data completeness and quality.
Provide technical support to stakeholders on data standards, mappings, and interoperability best practices.
Conduct data quality assessments and validation of incoming data from EHRs and other health IT systems.
Design and execute automated data-quality checks (conformance, completeness, plausibility) across OMOP, FHIR, and HL7 layers.
• Perform root-cause analysis on anomalies and coordinate corrective actions with data engineering teams.
Collaborate with internal teams and external partners to define interface requirements and ensure successful data exchange and to scale offerings
Present data methodologies, findings, and limitations to leadership and external partners.
Identify opportunities to automate manual processes and enhance interoperability using modern tooling across our major alliance partners
Stay current with updates to OMOP vocabularies or HL7 standards, and FHIR implementation guides
Contribute to data-governance, metadata management, and documentation best practices
Document data specifications, transformation logic, and integration processes.

Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that includeâ meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability.
We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume