Director of Data Science

The OpportunityJoin a large, mission-driven healthcare system as it builds out an enterprise data science function from a position of real influence. This is a senior leadership seat overseeing data science strategy across customer, clinical, and operational domains — with a mandate to move beyond static dashboards toward predictive, prescriptive, and conversational AI-driven decision support.You'll define how the organization builds and governs models at scale, turn messy unstructured data (surveys, call center interactions, customer touchpoints) into real experience improvements, and build the semantic data products that power next-generation AI interfaces. You'll also build and lead the team doing this work, with a clear mandate to grow both scope and headcount as impact is demonstrated.What You'll DoDefine and execute the enterprise data science roadmap across customer, clinical, operational, and business prioritiesLead development of predictive, prescriptive, and optimization models — forecasting, segmentation, personalization, and recommendation systemsBuild semantic data products that interface with conversational AI/chat layers, not static reportingConvert unstructured data into actionable customer experience improvementsEstablish standards for model development, validation, deployment, monitoring, and lifecycle managementDefine evaluation frameworks spanning business value, statistical quality, fairness, reliability, and clinical/customer outcomesPartner directly with AI Engineering and Product to operationalize models into customer-facing, clinical, and operational workflowsBuild, lead, and grow a high-performing data science team, including structure, staffing, and operating rhythmPreferred Technologies & ExperienceAdvanced Python, R, and SQLStrong foundation in statistical modeling, ML, predictive analytics, and causal inferenceExperience with experimentation design and production-grade model evaluation and monitoringCloud-based analytical environments and modern notebook/ML toolingFamiliarity with GenAI, LLM evaluation, personalization, and recommendation systems is highly valuedExposure to ontology, semantic models, knowledge graphs, or enterprise data products is a strong plusWhat They're Looking For12–18+ years of experience in data science, machine learning, advanced analytics, or decision science5–8+ years directly leading data science, analytics, or ML teamsDemonstrated track record of data science work that shaped real business, customer, clinical, or operational decisions — not just models shipped in isolationExperience with production-oriented model development, evaluation, and performance monitoring at scaleComfort operating across ambiguity, translating strategy into execution, and execution back into strategic narrativeStrong executive communication skills — able to present strategy, tradeoffs, risk, and outcomes to senior leadershipHealthcare, life sciences, financial services, or other regulated-industry experience preferred, not requiredWhy This RoleShape how AI and data science get applied across an entire healthcare enterprise, not a single product lineMove the organization from static reporting to conversational, model-driven decision support from the ground upHigh autonomy and executive visibility: this role reports into senior leadership with real mandate to set directionBuild and shape a growing team, with the ability to define its structure and trajectory rather than inherit oneWork at the intersection of AI, clinical outcomes, and customer experience — where the impact is tangible, not just theoretical