
Healthcare Insurance • Non-profit • Social Impact
BME Strategies is a specialty Public Health consulting firm with over two decades of experience driving sustainable change rooted in community health and equity. They deliver targeted, lasting public health care solutions by partnering with state and local communities, focusing on areas such as program and project management, strategic planning, coalition building, monitoring and evaluation, and emergency preparedness. Through innovative interventions and analytics, BME Strategies aims to improve health outcomes and build healthier communities, believing that the health of a community is instrumental to its success.
51 - 200 employees
Founded 2004
⚕️ Healthcare Insurance
🤝 Non-profit
🌍 Social Impact
November 20

Healthcare Insurance • Non-profit • Social Impact
BME Strategies is a specialty Public Health consulting firm with over two decades of experience driving sustainable change rooted in community health and equity. They deliver targeted, lasting public health care solutions by partnering with state and local communities, focusing on areas such as program and project management, strategic planning, coalition building, monitoring and evaluation, and emergency preparedness. Through innovative interventions and analytics, BME Strategies aims to improve health outcomes and build healthier communities, believing that the health of a community is instrumental to its success.
51 - 200 employees
Founded 2004
⚕️ Healthcare Insurance
🤝 Non-profit
🌍 Social Impact
• Lead the design and development of enterprise-level data architecture, including conceptual, logical, and physical data models for public health data environments. • Develop schemas, integration patterns, crosswalks, and APIs to enable interoperability between disparate data sources (EHR, vital statistics, immunization registries, environmental health, MAVEN, etc.). • Establish scalable data infrastructure using platforms such as Snowflake, AWS, Salesforce Public Sector Solutions, and Informatica. • Design ETL/ELT pipelines to extract, transform, and harmonize data across structured and unstructured public health sources. • Support implementation of FHIR, HL7, LOINC, ICD, and/or OMOP CDM standards to ensure semantic consistency and future-proofed system integration. • Guide technical teams in implementing data lakes, data warehouses, and data marts for analytics and operational use. • Establish standards for data modeling, metadata, interoperability, provenance, and quality monitoring. • Collaborate with data governance experts to align architecture with stewardship, compliance, data classification, and security protocols. • Ensure architecture supports high-priority use cases, including ELR, CDR, reportable condition surveillance, and Health Equity data monitoring. • Collaborate with epidemiologists, IT teams, analytics staff, and public health program leads to translate business needs into data solutions. • Serve as the technical liaison across state agencies, vendors, and modernization partners (CDC, HIEs, providers, etc.). • Recommend architecture scaling strategies for multi-agency interoperability and sustained modernization. • Lead or advise teams on platform configuration, environment setup, identity and access management, and cloud deployment. • Monitor emerging tools, data fabrics, and national DMI standards to future-proof system design. • Communicate architectural decisions, principles, and implementation roadmaps to both technical and non-technical audiences.
• Master’s degree in Informatics, Information Systems, Computer Science, Public Health Informatics, or a related field. • Minimum 7 years of experience in data architecture, data engineering, or system integration, ideally in public health or healthcare. • Demonstrated experience designing data warehouses, API-driven data exchanges, and cloud-based data platforms (AWS, Snowflake, Azure, Salesforce). • Strong working knowledge of interoperability standards (HL7, FHIR, LOINC, OMOP, ICD-10, etc.) and applying them to real-world system integration. • Expertise in designing ETL/ELT workflows, data models, and system mapping for public health reporting and analytics. • Strong proficiency with SQL, data modeling tools, metadata management, and data security best practices. • Excellent ability to communicate complex technical concepts to stakeholders at varying levels of technical fluency.
• 6+ weeks total leave, including paid vacation, sick time, personal leave, and floating holidays • Health, dental, and vision insurance • Health FSA and dependent care FSA • 401(k) with employer match • Employer-paid short-term and long-term disability insurance • One-time technology stipend • Opportunities for professional development and career growth
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