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SCA Health

Outpatient surgical center delivering safe care

Vice President Data and Artificial Intelligence

Data Management +1Confirmed live in the last 24 hours
Full-timeUnited States$225k - $275k /yrIn-person

About the Job

Requirements

  • At least 10 years in data, analytics, or AI leadership roles, including at least 4 years at VP or equivalent level.
  • Demonstrated experience building enterprise data platforms at scale using cloud-native, modern data stacks such as dbt, Spark, Databricks, or Snowflake.
  • Healthcare data experience, including EHR integration using HL7/FHIR, HIPAA compliance, and clinical data structures and terminology.
  • Hands-on experience leading AI/ML initiatives from business case through production deployment and ongoing monitoring.
  • A proven track record building and leading high-performing technical teams of 10 or more people in complex organizations.
  • Experience establishing data governance frameworks in multi-site or distributed healthcare organizations.
  • Architectural fluency in cloud data platforms such as Databricks, Snowflake, or Azure Synapse.
  • Experience with healthcare interoperability standards and patterns, including HL7 v2, FHIR R4, and SMART on FHIR.
  • Experience with ML frameworks and MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI.
  • Experience with data governance tools such as Collibra, Alation, or equivalent enterprise catalog platforms.
  • Experience with BI and analytics platforms such as Tableau, Power BI, or Looker, including platform strategy and semantic modeling.
  • Experience with generative AI patterns, including RAG architecture, LLM evaluation frameworks, and prompt engineering at enterprise scale.
  • Ability to communicate with executive and board-level audiences, including CMOs and CFOs, with and without technical audiences.
  • Ability to build trust with clinicians and operational leaders and demonstrate clinical context.
  • Ability to make data-informed decisions and operate effectively in greenfield environments and ambiguity.
  • Commitment to responsible AI and ability to attract and develop talent.

Responsibilities

  • Define and execute the multi-year enterprise data platform roadmap, including cloud data architecture, EHR/PAS integration, real-time pipelines, and infrastructure for trusted enterprise data.
  • Lead the AI roadmap, including MLOps infrastructure, model development, production deployment, monitoring, use-case prioritization, business-case analysis, and clinical validation protocols.
  • Establish responsible AI standards for model documentation, bias monitoring, explainability, and the AI Review Board; track FDA Software as a Medical Device guidance.
  • Partner across the enterprise with product, security, architecture, clinical, and operational leaders to guide data-informed decisions, platform design, use-case identification, and adoption.
  • Build and lead a high-performing team of 12–15 data and AI professionals across six functional areas, and establish a culture of rigor, curiosity, and clinical partnership.
  • Own the Data & AI technology budget, vendor evaluation, and contract strategy; make build/buy/partner decisions and present investment priorities and ROI analysis to executive and board-level audiences.
  • Support the enterprise data governance framework, including ownership model, data dictionary, quality standards, master data management, and compliance posture across HIPAA, TEFCA/HTI-1, and interoperability mandates.

Desired Qualifications

  • Experience in ambulatory surgery, surgical specialties, or a multi-site healthcare network.
  • Familiarity with the FDA Software as a Medical Device regulatory framework for clinical AI.
  • Experience deploying generative AI in enterprise or clinical settings, including RAG pipelines, LLM evaluation, and guardrails.
  • Experience with data product thinking, treating data as a product consumed by business users rather than only infrastructure.
  • A graduate degree in computer science, data science, statistics, biomedical informatics, or a related field.
  • Experience operating in a private-equity-backed or high-growth, acquisition-driven environment.

About the Company

SCA Health

Outpatient surgical center delivering safe care

Arcadia Outpatient Surgery Center delivers outpatient surgical care for procedures that do not require overnight hospitalization. It uses specialized surgical services and state-of-the-art equipment in an ambulatory setting, with a family-friendly environment to ease patient experience, and it is accredited by The Joint Commission. Its differentiators include dedicated ambulatory-focused services, strict safety protocols, accreditation, and a patient-centered atmosphere compared with traditional inpatient hospitals and other outpatient facilities. The goal is to provide safe, efficient, and accessible surgical care while maintaining high care standards and strong payer-provider partnerships.

Company size
1,001-5,000
Company stage
Seed
Total funding
$40K
Headquarters
Homewood, AL
Founded
2007

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