HCA Healthcare's Digital Transformation and Innovation (DT&I) team aims to deliver a step change in healthcare services through the clinical integration of digital and AI technologies. The Director, Data Science role is crucial for providing technical and organizational leadership to deliver these Data Science products, aligning long-term initiatives with product roadmaps and business requirements.
Requirements
- Expert experience in SQL and Python
- Experience with structured and unstructured data (i.e.. tabular, text, images, video, etc.)
- Experience with SQL relational and non-relational databases
- Experience with data processing and ETL tools (e.g. dbt)
- Experience with data visualization and data monitoring tools
- Experience with Infrastructure as Code (IAC) such as Terraform, Github Actions, and Docker
- Experience with cloud deployments in GCP or another cloud platform
Responsibilities
- Manage, mentor, and coordinate teams 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.
- Lead, research, strategize, design, implement, document and evangelize Data Science products from incubation to deployment to monitoring.
- 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)
- Develop and track data product OKRs for measurable value creation for the enterprise.
Other
- Bachelor Degree Required
- Masters/PhD Degree Preferred
- 8+ years of overall experience in various aspects of data science, machine learning, and generative AI with demonstrated progressive responsibilities
- Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders
- Strong leadership skills with a proven track record of motivating, mentoring, and managing multidisciplinary data science and engineering teams
