InQbator Data Science Director in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a InQbator Data Science Director in United States.

This is a senior leadership role at the intersection of healthcare, artificial intelligence, and advanced analytics, focused on transforming how clinical and operational decisions are made at scale. You will lead the design and execution of AI-driven solutions that improve the speed, accuracy, and efficiency of evidence-based care delivery. The role spans the full lifecycle of machine learning and generative AI systems, from research and model development through deployment, monitoring, and governance. You will guide the modernization of data platforms and build scalable pipelines that connect clinical, operational, and administrative data into actionable intelligence. Working closely with clinical, product, and technology leaders, you will define the AI strategy and ensure its alignment with regulatory and evidence-based standards. This is a highly visible executive-level role with direct impact on healthcare outcomes, cost efficiency, and innovation in care delivery systems.

• Lead the end-to-end strategy, development, and execution of AI/ML and data science initiatives supporting clinical and operational decision-making.
• Own the lifecycle of predictive models, deep learning systems, and generative AI solutions, including validation, deployment, monitoring, and continuous improvement.
• Design and scale intelligent automation systems, including prior authorization optimization and real-time clinical decision support tools.
• Build and modernize enterprise data infrastructure, including cloud-based lakehouse architectures and scalable analytics platforms.
• Develop integrated data pipelines combining clinical, operational, and administrative datasets to enable advanced analytics and AI use cases.
• Establish frameworks for model governance, explainability, validation, and regulatory compliance in a healthcare environment.
• Partner with clinical and operational leaders to ensure AI solutions align with evidence-based care pathways and improve outcomes.
• Lead and grow a high-performing data science organization, fostering innovation, accountability, and technical excellence.
• Translate complex analytical outputs into actionable insights for executive, clinical, and technical stakeholders.
• Evaluate and implement emerging AI approaches, including LLMs, retrieval-augmented generation, and agentic workflows.

• 8+ years of experience in data science, advanced analytics, or machine learning roles.
• 5+ years of leadership experience managing data science or AI teams in production environments.
• Proven track record of deploying machine learning or generative AI solutions in regulated or complex industries, preferably healthcare.
• Strong expertise in machine learning, deep learning, NLP, and generative AI methodologies.
• Hands-on experience with cloud data platforms such as Azure or Databricks and modern data engineering practices.
• Advanced programming skills in Python, SQL, Linux, and familiarity with distributed systems such as Spark or Hadoop.
• Experience building scalable AI pipelines, data infrastructure, and production-grade analytics systems.
• Strong executive presence with the ability to influence cross-functional and senior stakeholders.
• Ability to translate technical concepts into clear business and clinical insights.
• Familiarity with healthcare data standards such as HL7 FHIR is a strong advantage.

• Competitive annual salary range of approximately $178,500 to $297,500, depending on experience and location.
• Eligibility for annual bonus and long-term incentive programs.
• Comprehensive healthcare coverage including medical, dental, and vision insurance starting on day one.
• Retirement savings plan (401(k)) and life insurance benefits.
• Generous paid time off, including a minimum of 18 days annually plus paid holidays.
• Tuition reimbursement and access to professional development programs.
• Flexible work arrangements, including remote or hybrid options depending on role needs.
• Strong focus on well-being and behavioral health support programs.