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Director of Data Science & AI (Healthcare Analytics)

torentify • United State
Remote
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Lead an AI and machine learning team to develop enterprise data science strategies, applying advanced analytics to healthcare customer journeys, clinical operations, and business optimization. Define roadmaps, build predictive/prescriptive models, and operationalize solutions across cross-functional teams. Requires 12+ years of leadership in data science, deep expertise in ML, and experience scaling analytics in regulated industries.

Key Highlights
Lead AI/ML team and define enterprise data science roadmap for healthcare transformation
Apply machine learning to unstructured data (surveys, call center interactions) for customer/clinical insights
Operationalize models in production with focus on fairness, interpretability, and business impact
Key Responsibilities
Define and execute the enterprise data science roadmap aligned with healthcare priorities
Lead development of predictive, prescriptive, and optimization models for clinical/operational domains
Transform unstructured customer data (surveys, call center interactions) into actionable insights
Establish standards for model development, validation, deployment, and lifecycle management
Partner with engineering, product, and clinical teams to integrate models into production workflows
Advise senior leaders on data science strategy, risk, and measurable outcomes
Lead and develop a high-performing team of data scientists
Technical Skills Required
Machine Learning Predictive Analytics Python
Benefits & Perks
$265,000–$300,000 annual base salary
Annual bonus opportunity
Healthcare benefits
401(k) retirement plan
Fully remote work model (US only)
Nice to Have
Master’s degree or PhD in relevant discipline
Healthcare industry leadership experience
Natural Language Processing expertise
Generative AI and large language model evaluation experience
Ontology and semantic modeling knowledge

Job Description

About the Company

Harnham is partnering with one of the largest not-for-profit health systems in the United States. Headquartered in Dallas, the organization operates an integrated network of more than 55 hospitals and 1,300 care sites across Texas, serving more than three million people and supporting approximately 13.5 million patient encounters annually.

The organization is investing in artificial intelligence, advanced analytics, and digital capabilities as it continues its transformation into a more connected and customer-focused health system.

About the Role

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