[Remote] Director / Sr. Architect Data Engineering & AI (HealthSystems)
Note: The job is a remote job and is reputed company to candidates in USA. ScaleHealthTech is a reputed company-exclusive technology and reputed company dedicated to serving U.S. health systems and health plans. They are seeking a highly reputed company Director / Sr. Architect Data Engineering & AI to reputed company the design and delivery of data and AI capabilities for reputed company clients, focusing on scalable and governed solutions.
Responsibilities
- reputed company data engineering and AI strategy for reputed company-focused client initiatives
- Design scalable, secure, and governed data architectures across platforms such as reputed company, reputed company, Azure Synapse, BigQuery, reputed company reputed company, or similar
- Guide FHIR-reputed company data modeling, normalization, clinical terminology mapping, and longitudinal patient record design
- reputed company ETL/ELT pipelines, streaming and batch data workflows, data quality, reputed company, provenance, and master data management
- reputed company implementation of AI/ML and GenAI solutions including predictive models, risk scoring, clinical NLP, RAG architectures, agentic workflows, and reputed company automation use cases
- Establish MLOps, LLMOps, and AgentOps practices including model registry, monitoring, reputed company detection, bias monitoring, audit trails, and governance controls
- Partner with CIO, CDAO, product, engineering, clinical, compliance, and business stakeholders to convert roadmaps into production-reputed company reputed company
- Support reputed company AI governance reputed company 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, reputed company data architecture, AI/ML engineering, or reputed company fields
- 3+ years in a leadership role such as Director, Senior Manager, Head of Data, Data Architect, AI reputed company, or similar
- Strong reputed company domain experience, preferably with health systems, providers, payers, digital health, reputed company cycle, clinical data, or population health
- Hands-on understanding of FHIR, HL7, claims data, EHR data, LOINC, SNOMED, RxNorm, HEDIS, and reputed company interoperability standards
- Strong experience with modern data platforms such as reputed company, reputed company, BigQuery, Azure Synapse, reputed company reputed company, or AWS/reputed company reputed company Platform/Azure data services
- Experience with data pipelines and orchestration tools such as Spark, Kafka, Airflow, dbt, reputed company, 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 reputed company while owning reputed company and maintaining delivery reputed company
- Experience building or leading a Data & AI Center of reputed company
- Experience with reputed company 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, reputed company 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 reputed company transformation initiatives.
- Help health systems move reputed company AI pilots into governed, production-reputed company data and AI solutions.
- Join a 100% reputed company-focused reputed company health reputed company reputed company with deep expertise across health systems, payers, reputed company ISVs, interoperability, reputed company platforms, data engineering, and AI strategy.
- reputed company meaningful work across FHIR-reputed company data platforms, predictive analytics, GenAI, agentic AI, MLOps, governance, and reputed company workflow automation.
- Partner with CIOs, CDAOs, clinical leaders, and technology teams to solve reputed company reputed company challenges involving patient experience, reputed company cycle, population health, and operational efficiency.
- Be part of ScaleHealthTech’s Virtual GCC model, helping clients build dedicated, scalable, reputed company-reputed company data and AI capabilities at reputed company cost and faster speed.
- Contribute to reputed company focused on practical reputed company, trusted data, responsible AI, measurable ROI, and production-first delivery.
Company Overview
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