InQbator Data Science Director; eviCore; Remote

Position: InQbator Data Science Director (eviCore; Remote)
The VP of InQbator Data Science will drive healthcare innovation by enhancing the accuracy, speed, and efficiency of automated, evidence-based clinical decision-making to achieve improved outcomes and reduced cost of care. Provide executive leadership, planning, and oversight for all areas of Data Science strategy, development, and product implementation.

This role owns the Evicore Medical Benefit Services (MBM) data science function responsible for predictive modeling, AI/ML and large language model (LLM) development, workflow automation, and analytical infrastructure connecting clinical data to operational outcomes. Working in close collaboration with clinical, operational, product, and technology leadership, the leader will define and execute the organization's AI strategy, including production AI pipelines, real-time decision support tools, and scalable automation solutions.

The role will lead the full lifecycle of advanced analytics-from research and validation through deployment, monitoring, and governance-while ensuring alignment with regulatory requirements and clinical best practices. The leader will also build and mentor a high-performing data science organization and drive innovation in areas such as intelligent automation and AI-assisted prior authorization.

** PRIMARY RESPONSIBILITIES*
* + AI Development and Ownership

+ Design, build, and scale production-grade automation that transform structured and unstructured clinical and operational data into actionable insights.

+ Own the end-to-end lifecycle of machine learning, deep learning, and generative AI models, including development, validation, deployment, monitoring, and continuous improvement.

+ Develop algorithms, applications, and large-scale experimentation frameworks to improve clinical decision support, prior authorization automation, and operational throughput.

+ Establish automated validation and quality assurance frameworks to ensure accuracy, consistency, and explainability of AI outputs at scale.

** Data Platform and Analytics Modernization*
* + Lead modernization of enterprise data infrastructure, including migration to scalable cloud and lake-house architectures supporting real-time analytics and AI workloads.

+ Build and maintain integrated data pipelines combining clinical, operational, and administrative datasets to enable advanced modeling and reporting.

+ Enable self-service analytics capabilities and data-driven applications that translate data into actionable business intelligence.

** Clinical and Operational AI Strategy*
* + Define and execute MBS AI strategy to improve clinical decision-making, quality reporting, and pathway optimization.

+ Partner with clinical leadership to ensure models align with evidence-based guidelines and drive explainable AI outcomes.

+ Lead development of forecasting models, capacity planning tools, and intelligent automation solutions that improve operational performance and user experience.

+ Evaluate and implement emerging AI approaches, including LLMs, retrieval-augmented generation, and agentic workflows.

** Leadership and Organizational Development*
* + Recruit, develop, and lead a high-performing data science team, fostering a culture of innovation, accountability, and technical excellence.

+ Assist in developing a strategic roadmap and prioritization frameworks that align with business objectives.

+ Collaborate with product, engineering, and agile teams to integrate data science into the software development lifecycle.

+ Serve as a key executive stakeholder, translating complex technical insights into actionable strategies for clinical, operational, and executive audiences.

** Governance and Compliance*
* + Ensure all AI and data science initiatives meet governance, audit, bias mitigation, and regulatory standards.

+ Establish best practices for documentation, model transparency, and responsible AI deployment.]

** MINIMUM EDUCATION, LICENSURE AND PROFESSIONAL CERTIFICATION REQUIREMENT*
* + 8+ years of industry experience in data science or advanced analytics

+ 5+ years in a leadership role managing teams and delivering production AI solutions

+ Demonstrated experience deploying machine learning and/or LLM solutions in complex, regulated environments.

** MINIMUM EXPERIENCE REQUIRED*
* + Deep expertise in Machine Learning, Deep Learning, Natural Language Processing, and Generative AI techniques

+ Hands-on experience with cloud data platforms (e.g., Azure, Databricks) and modern data engineering practices.

+ Strong programming experience (Linux, Python, SQL, JavaScript) and familiarity with distributed systems and big data frameworks (e.g., Spark, Hadoop).

+ Experience building scalable data pipelines, AI workflows, and production systems.

+ Healthcare data, clinical systems, or utilization management experience strongly preferred.

** REQUIRED SKILLS*
* + Strong leadership presence with the ability to influence executive stakeholders.

+ Deep technical expertise in AI/ML, including LLM development and deployment.

+ Experience…