Founded in 2004, BME Strategies is a Massachusetts-based consulting firm specializing in providing Public Health design and implementation programming for local, regional, and state governments.
Position Overview
We are seeking an experienced Public Health Data Architect to support a statewide Data Modernization Initiative (DMI). This role will lead the technical design and architecture of modernized public health data systems, including building interoperable, secure, and scalable data environments aligned with CDC, DPH, and national interoperability standards (FHIR, HL7, OMOP, etc.).
The ideal candidate will bring expertise in data architecture, system integration, interoperability design, data engineering, and cloud-based health information infrastructure, with a strong understanding of public health data systems and reporting needs. This individual will bridge the business, epidemiology, and IT domains—designing foundational architecture that enables analytics, surveillance, and decision support.
Key Responsibilities
Architectural Design and Strategy
- 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.
System Integration and Engineering
- 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.
Governance and Quality
- 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.
Stakeholder Collaboration
- 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.
Technical Leadership
- 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.
