INTRODUCTION

Do you want to join an organization that invests in you as a Senior Staff Data Modeler? At HCA Healthcare, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.

NOTE: ELIGIBILITY FOR BENEFITS MAY VARY BY LOCATION.

You contribute to our success. Every role has an impact on our patients’ lives and you have the opportunity to make a difference. We are looking for a dedicated Senior Staff Data Modeler like you to be a part of our team.

JOB SUMMARY AND QUALIFICATIONS

HCA Healthcare is looking for an experienced and innovative Data Modeler to lead the design and implementation of scalable, secure, and high-performance data products on Google Cloud. In this role, you will be at the forefront of transforming raw data into actionable insights by creating robust architectures that integrate seamlessly into our enterprise ecosystem.
The Data Modeler will play a critical role in bridging the gap between business needs and technical solutions. You will work closely with Data Product Owners to understand product requirements, ensure alignment with business goals, and design solutions that meet operational and analytical needs.
This position requires a deep understanding of the architecture of business data source systems, their structures, communication protocols, and interfaces. The ideal candidate will demonstrate a mastery of data analysis, logical data modeling, and the ability to identify opportunities for data reuse and transformation. You will design data architectures that address gaps, optimize performance, and enforce enterprise standards in cybersecurity, governance, and compliance.
As a key contributor to HCA’s data strategy, you will also develop and maintain a comprehensive data architecture roadmap, ensuring alignment with business priorities and evolving technology trends. By integrating advanced analytics and machine learning capabilities, you will help HCA Healthcare maximize the value of its data to improve clinical outcomes and operational efficiency.

WHAT QUALIFICATIONS YOU WILL NEED:

• Bachelor’s degree in Computer Science, related field, or a combination of education and professional experience required
• Master’s degree in Computer Science or a related field - Preferred
• 10+ years of experience in data management, architecture, and modeling
• Expert proficiency in Python and SQL
• Experience mentoring more junior team members
• Ability to define best practices for schema versioning and evolution
• Enterprise experience with Data architecture and design
• Experience optimizing data models for performance
• Working proficiency in GCP (BigQuery, DataFlow, Kafka, etc.)

Preferred Skills:

• Experience with healthcare data engineering and architecture (HL7, FHIR, Etc.)
• Strong foundation in data engineering and architecture

Work Location/Schedule:

• Nashville, TN area (near Centennial Park)
• Onsite: M-F for 6 months, then hybrid 2-3 days WFH

Travel:

• The job may require travel from time-to-time, but not on a regular basis.

Visa Sponsorship:

• Not Offered

“Good people beget good people."- Dr. Thomas Frist, Sr.
HCA Healthcare Co-Founder
We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Senior Staff Data Modeler opening. Qualified candidates will be contacted for interviews. Submit your resume today to join our community of caring!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

• Define the strategic direction for enterprise data modeling
• Lead enterprise-wide governance efforts for metadata, data contracts, and compliance
• Develop AI-driven data models and semantic layers for business intelligence
• Architect and oversee enterprise-wide data modeling initiatives
• Oversee multi-cloud and hybrid data architecture initiatives
• Provide thought leadership and innovation in data modeling
• Lead the development of scalable data models for enterprise applications
• Develop and enforce best practices for schema evolution and data interoperability
• Drive standardization of best practices across data modeling teams
• Work with stakeholders to implement data governance and security controls
• Perform advanced data analysis to inform design decisions and ensure alignment with business needs.
• Create logical data models or object models of moderate complexity to address business challenges.
• Develop data modeling automation frameworks to enhance consistency
• Implement advanced metadata management and data quality monitoring
• Ensure data governance and security best practices are followed
• Build automated validation processes for data integrity checks
• Partner with domain owners to shape the organization’s data strategy
• Partner with Data Product Owners to gather and refine requirements for data products.
• Translate business needs into technical designs that align with organizational goals.
• Drive adoption of standardized data modeling frameworks
• Conduct stakeholder meetings to review and validate data models
• Define best practices for multi-cloud and AI-driven data models
• Ensure seamless integration across diverse data platforms
• Demonstrate expertise in core business applications and support systems.
• Understand and apply communication protocols and interfaces used by business systems to enable efficient data integration.
• Ensure high availability and scalability in data models
• Evaluate the adoption of modern data storage and processing paradigms
• Oversee cloud data architecture across multiple business domains
• Evaluate and recommend new data modeling tools and technologies
• Optimize cloud data structures for performance and scalability.
• Translate project-specific requirements into a cloud structure that meets those requirements, as well as taking into account the project’s resource use and scalability requirements.
• Assess and identify gaps in data architecture, systems, and workflows.
• Optimize data models for performance.
• Establish guidelines for schema evolution and data interoperability
• Recommend and implement changes to improve data quality, accessibility, and consistency.
• Design schemas and structures for data products that are robust, scalable, and secure.
• Integrate data products with business systems, workflows, and analytical tools.
• Ensure data products are optimized for machine learning, real-time analytics, and other advanced use cases.
• Work closely with individuals across the technology organizations to help promote awareness of the data architecture and ensure that enterprise assets of competence are leveraged.
• Maintain and enforce enterprise data architecture guidelines, including data governance, cybersecurity, metadata management, and auditability.
• Establish enterprise data governance policies
• Define industry-leading practices for data modeling automation
• Guide compliance teams on data retention and usage policies
• Work with senior member of the team and establish data architecture roadmap aligned with HCA’s strategic priorities.
• Continuously evolve the architecture to address emerging technologies and business requirements.