Data Science Manager

This is OUR story... and YOUR next chapter At HCA Healthcare, our Digital Transformation and Innovation (DT&I) team is redefining what’s possible inpatient care. By leveraging the power of artificial intelligence, automation, and digital technologies, DT&I is helping drive meaningful improvements in clinical outcomes, reduce manual workload, and expand the reach of our care teams. If you're passionate about using technology to improve human life, this is where your work truly matters What you will accomplish in this role Job Summary and Qualifications At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. HCA’s Care Transformation and Innovation (CT&I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care. The Manager, Data Science is a technical managerial position that provides technical and organizational leadership to deliver Data Science products. This person engages with department leadership to understand strategy to align long term data science initiatives and budgets with product roadmaps and business requirements. This person guides planning, development, and implementation of components with the Data Science team. This role is expected to drive a positive change throughout the organization (both Business and Technology) and is expected to show empathy for the stakeholders and build products which deliver a delightful experience. What You'll Do: - AGILE AND VALUE BASED DELIVERY: Lead, research, strategize, design, implement, document and evangelize Data Science products from incubation to deployment to monitoring. Responsible for team level OKRs related to product modules and agile delivery. - FRAMEWORK, TOOLING, AND BEST PRACTICES: Facilitate the delivery of enterprise wide, production grade, and accurate data science products by establishing and standardizing tooling and process frameworks for best practices that produce maintainable code, automated testing, and CI/CD. Enable good developer experience in code-centric and low-code environments. - CODE AND DELIVERABLE QUALITY: Provide technical code review for delivery work; ensure adherence to Responsible AI framework, ensure model interpretability, explainability, and model KPIs (both functional and non-functional) - LEADERSHIP: Manage, mentor, and coordinate the team of data scientists, product managers, analysts, and vendors/contractors to meet project goals and expectations. Facilitate the team to master full stack technical capabilities. Deep dive with Data Scientists on the design and performance of AI services. Explain data science approach and results to Business and IT stakeholders in understandable terms