Data Science Manager

HCA Healthcare • Nashville, TN

1d • Remote

About The Position

The Data Science Manager is a technical managerial position on HCA Healthcare’s Care Transformation and Innovation team. The role provides technical and organizational leadership to deliver data science products, aligning long-term initiatives and budgets with product roadmaps and business requirements. The manager guides planning, development, and implementation of work across the Data Science team and helps drive positive change across business and technology while building products that meet stakeholder and end-user needs.

The manager leads data science products from incubation through deployment and monitoring; establishes standardized tools, frameworks, and processes for production-grade delivery; and supports maintainable code, automated testing, CI/CD, and a strong developer experience. The role reviews technical work, promotes Responsible AI, and ensures model interpretability, explainability, and performance against functional and non-functional KPIs.

The position manages and mentors data scientists, product managers, analysts, and vendors or contractors; partners with senior leadership on data science strategy and roadmaps; and communicates approaches and results clearly to business and IT stakeholders. It also develops and tracks product OKRs to measure enterprise value and keeps current with healthcare trends and AI technologies.

Work schedule: Work from home, Monday through Friday. Travel may be required occasionally, but not regularly. Visa sponsorship is not offered.

Requirements

• Bachelor’s degree in Computer Science or a related field.
• At least 4 years of overall experience across data science and machine learning, with demonstrated progressive responsibilities, particularly in predictive modeling, optimization, and/or operations research.
• Expert experience with SQL and Python.
• Experience with structured and unstructured data, such as tabular data, text, images, and video.
• Experience with SQL relational and non-relational databases.
• Experience with data processing and ETL tools such as Apache Spark.
• Experience with data visualization and data monitoring tools.
• Experience with Infrastructure as Code, such as Terraform, GitHub Actions, and Docker.
• Experience with cloud deployments in GCP or another cloud platform.
• Experience with Agile development methods and tools, such as Azure DevOps.
• Excellent communication and collaboration skills, including the ability to work effectively across teams and stakeholders.
• Strong leadership skills and a proven track record motivating, mentoring, and managing multidisciplinary data science and engineering teams.
• Ability to tell a story using data and insights that drives action and change.
• Demonstrated leadership in a fast-paced environment, including decisiveness, consensus-building, empathy, and kindness.

Nice To Haves

• Master’s or PhD degree in Computer Science or a related field.
• Healthcare domain knowledge and experience.
• Strong project management skills and ability to manage multiple projects simultaneously.
• Agile Delivery, Product Management, or Scrum Master certifications.
• Experience managing and unblocking teams in the GCP platform.

Responsibilities

• Lead research, strategy, design, implementation, documentation, and communication of data science products from incubation through deployment and monitoring.
• Own team-level OKRs related to product modules and agile delivery.
• Establish and standardize tooling and process frameworks and best practices for enterprise-wide, production-grade data science products, including maintainable code, automated testing, and CI/CD.
• Enable developer experience in code-centric and low-code environments.
• Provide technical code reviews and ensure adherence to the Responsible AI framework, model interpretability and explainability, and model KPIs.
• Manage, mentor, and coordinate data scientists, product managers, analysts, and vendors or contractors to meet project goals and expectations.
• Help the team build full-stack technical capabilities and work with data scientists on AI service design and performance.
• Explain data science approaches and results to business and IT stakeholders in understandable terms.
• Participate in developing the company’s data science strategy and roadmap with senior leadership.
• Monitor healthcare industry trends and AI technologies and bring relevant ideas and practices to CT&I.
• Communicate with senior management and stakeholders to align goals and priorities around end users.
• Develop and track data product OKRs to measure enterprise value creation.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager