[Remote] Director / Sr. Architect Data Engineering & AI (HealthSystems)
Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Work in a flexible, part-time leadership role while contributing to high-impact healthcare transformation initiatives.
- Help health systems move beyond AI pilots into governed, production-ready data and AI solutions.
- Join a 100% healthcare-focused and digital health native consulting firm with deep expertise across health systems, payers, healthcare ISVs, interoperability, cloud platforms, data engineering, and AI strategy.
- Lead meaningful work across FHIR-native data platforms, predictive analytics, GenAI, agentic AI, MLOps, governance, and healthcare workflow automation.
- Partner with CIOs, CDAOs, clinical leaders, and technology teams to solve real healthcare challenges involving patient experience, revenue cycle, population health, and operational efficiency.
- Be part of ScaleHealthTech’s Virtual GCC model, helping clients build dedicated, scalable, healthcare-native data and AI capabilities at lower cost and faster speed.
- Contribute to a team focused on practical outcomes, trusted data, responsible AI, measurable ROI, and production-first delivery.
Company Overview
Company H1B Sponsorship