Director / Sr. Architect Data Engineering & AI (HealthSystems)

ScaleHealthTech is a healthcare-exclusive technology and consulting firm dedicated to serving U.S. health systems and health plans. They are seeking a highly experienced Director / Sr. Architect Data Engineering & AI to lead the design and delivery of data and AI capabilities for healthcare clients, focusing on scalable and governed solutions.

Responsibilities:

• Lead data engineering and AI strategy for healthcare-focused client initiatives
• Design scalable, secure, and governed data architectures across platforms such as Snowflake, Databricks, Azure Synapse, BigQuery, Microsoft Fabric, or similar
• Guide FHIR-native data modeling, normalization, clinical terminology mapping, and longitudinal patient record design
• Oversee ETL/ELT pipelines, streaming and batch data workflows, data quality, lineage, provenance, and master data management
• Lead implementation of AI/ML and GenAI solutions including predictive models, risk scoring, clinical NLP, RAG architectures, agentic workflows, and healthcare automation use cases
• Establish MLOps, LLMOps, and AgentOps practices including model registry, monitoring, drift detection, bias monitoring, audit trails, and governance controls
• Partner with CIO, CDAO, product, engineering, clinical, compliance, and business stakeholders to convert roadmaps into production-ready outcomes
• Support healthcare AI governance aligned with CHAI, NIST AI RMF, ONC HTI-1, HIPAA, SOC2, HITRUST, and responsible AI practices
• Mentor data engineers, AI engineers, architects, and delivery teams while ensuring technical quality and delivery accountability
• Help define reusable accelerators, reference architectures, delivery playbooks, and best practices for ScaleHealthTech’s Virtual GCC model

Requirements:

• 9-10+ years of experience in data engineering, analytics engineering, cloud data architecture, AI/ML engineering, or related fields
• 3+ years in a leadership role such as Director, Senior Manager, Head of Data, Data Architect, AI Lead, or similar
• Strong healthcare domain experience, preferably with health systems, providers, payers, digital health, revenue cycle, clinical data, or population health
• Hands-on understanding of FHIR, HL7, claims data, EHR data, LOINC, SNOMED, RxNorm, HEDIS, and healthcare interoperability standards
• Strong experience with modern data platforms such as Snowflake, Databricks, BigQuery, Azure Synapse, Microsoft Fabric, or AWS/Google Cloud Platform/Azure data services
• Experience with data pipelines and orchestration tools such as Spark, Kafka, Airflow, dbt, Fivetran, Informatica, or similar
• Working knowledge of AI/ML delivery, MLOps, model deployment, monitoring, model governance, and production AI lifecycle management
• Strong communication skills with the ability to advise executives while also guiding technical teams
• Ability to work effectively in a part-time or fractional capacity while owning outcomes and maintaining delivery momentum
• Experience building or leading a Data & AI Center of Excellence
• Experience with healthcare AI governance, responsible AI frameworks, PHI handling, tokenization, and compliance-heavy environments
• Experience delivering AI use cases such as ambient documentation, prior authorization, denial management, predictive population health, unified patient records, or clinical decision support
• Prior consulting, GCC, captive center, or client-facing delivery leadership experience