[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.ResponsibilitiesLead data engineering and AI strategy for healthcare-focused client initiativesDesign scalable, secure, and governed data architectures across platforms such as Snowflake, Databricks, Azure Synapse, BigQuery, Microsoft Fabric, or similarGuide FHIR-native data modeling, normalization, clinical terminology mapping, and longitudinal patient record designOversee ETL/ELT pipelines, streaming and batch data workflows, data quality, lineage, provenance, and master data managementLead implementation of AI/ML and GenAI solutions including predictive models, risk scoring, clinical NLP, RAG architectures, agentic workflows, and healthcare automation use casesEstablish MLOps, LLMOps, and AgentOps practices including model registry, monitoring, drift detection, bias monitoring, audit trails, and governance controlsPartner with CIO, CDAO, product, engineering, clinical, compliance, and business stakeholders to convert roadmaps into production-ready outcomesSupport healthcare AI governance aligned with CHAI, NIST AI RMF, ONC HTI-1, HIPAA, SOC2, HITRUST, and responsible AI practicesMentor data engineers, AI engineers, architects, and delivery teams while ensuring technical quality and delivery accountabilityHelp define reusable accelerators, reference architectures, delivery playbooks, and best practices for ScaleHealthTech’s Virtual GCC modelSkills9-10+ years of experience in data engineering, analytics engineering, cloud data architecture, AI/ML engineering, or related fields3+ years in a leadership role such as Director, Senior Manager, Head of Data, Data Architect, AI Lead, or similarStrong healthcare domain experience, preferably with health systems, providers, payers, digital health, revenue cycle, clinical data, or population healthHands-on understanding of FHIR, HL7, claims data, EHR data, LOINC, SNOMED, RxNorm, HEDIS, and healthcare interoperability standardsStrong experience with modern data platforms such as Snowflake, Databricks, BigQuery, Azure Synapse, Microsoft Fabric, or AWS/Google Cloud Platform/Azure data servicesExperience with data pipelines and orchestration tools such as Spark, Kafka, Airflow, dbt, Fivetran, Informatica, or similarWorking knowledge of AI/ML delivery, MLOps, model deployment, monitoring, model governance, and production AI lifecycle managementStrong communication skills with the ability to advise executives while also guiding technical teamsAbility to work effectively in a part-time or fractional capacity while owning outcomes and maintaining delivery momentumExperience building or leading a Data & AI Center of ExcellenceExperience with healthcare AI governance, responsible AI frameworks, PHI handling, tokenization, and compliance-heavy environmentsExperience delivering AI use cases such as ambient documentation, prior authorization, denial management, predictive population health, unified patient records, or clinical decision supportPrior consulting, GCC, captive center, or client-facing delivery leadership experienceBenefitsWork 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 OverviewDice is a job-searching platform for technology professionals. It is a sub-organization of DHI Group. It was founded in 1990, and is headquartered in Santa Clara, California, USA, with a workforce of 201-500 employees. Its website is http://www.dice.com.Company H1B SponsorshipDice has a track record of offering H1B sponsorships, with 2 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.