INTRODUCTION

Do you want to join an organization that invests in you as a 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.

BENEFITS

HCA Healthcare, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:

• Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation.
• Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.
• Free counseling services and resources for emotional, physical and financial wellbeing
• 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service)
• Employee Stock Purchase Plan with 10% off HCA Healthcare stock
• Family support through fertility and family building benefits with Progyny and adoption assistance.
• Referral services for child, elder and pet care, home and auto repair, event planning and more
• Consumer discounts through Abenity and Consumer Discounts
• Retirement readiness, rollover assistance services and preferred banking partnerships
• Education assistance (tuition, student loan, certification support, dependent scholarships)
• Colleague recognition program
• Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence)
• Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.

Learn more about Employee Benefits
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 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 you will do:

• Define data modeling standards and frameworks for the organization
• 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
• Define data transformation requirements and implement efficient solutions.
• Implement enterprise data management practices, standards, and frameworks for Data
• Ensure data governance and security best practices are followed
• Participate in code reviews and provide feedback on SQL queries and ETL pipelines
• Build automated validation processes for data integrity checks
• Partner with Data Product Owners to gather and refine requirements for data products.
• Work with senior leaders to define enterprise data strategy
• Translate business needs into technical designs that align with organizational goals.
• Drive adoption of standardized data modeling frameworkss
• Work closely with data engineers to implement complex models
• Advocate for data quality and integrity across all projects
• 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
• 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.
• Identify the best cloud architecture options to help the firm accomplish its strategic goals.
• Good understanding of cloud computing concepts
• Maintain and enforce enterprise data architecture guidelines, including data governance, cybersecurity, metadata management, and auditability.
• Define best practices for schema versioning and evolution
• Establish enterprise data governance policies
• Work with security teams to define data access control policies
• Collaborate with governance teams to enhance metadata management
• Enforce enterprise-wide data modeling standards
• Collaborate across various verticals to ensure compliance and data quality.
• 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.’

What qualifications you will need:BACHELOR’S DEGREE IN COMPUTER SCIENCE OR A RELATED FIELD OR COMBINATION OF EDUCATION AND PROFESSIONAL EXPERIENCE REQUIREDMASTER’S DEGREE IN COMPUTER SCIENCE OR A RELATED FIELD PREFERRED5+ YEARS OF EXPERIENCE IN DATA MANAGEMENT, DATA PRODUCTS, OR ANALYTICS REQUIREDEXPERTISE IN SQL OPTIMIZATION AND DATA MODELING TECHNIQUESABILITY TO WRITE, TUNE, AND INTERPRET SQL QUERIES; EXPERIENCE WITH GCP BIG QUERY IS A BIG PLUSHANDS ON EXPERIENCE WITH GIT AND GITHUB VERSION CONTROL.STRONG ABILITY TO PRESENT COMPLEX TECHNICAL CONCEPTS TO LEADERSHIPEXTENSIVE EXPERIENCE IN ARCHITECTURE, CONSTRUCTION, AND IMPLEMENTATION OF DATA-INTENSIVE SOLUTIONSSTRONG UNDERSTANDING OF METADATA MANAGEMENT AND DATA CATALOGINGADEPTNESS TO LEARN NEW ASSIGNMENTS, TECHNOLOGIES AND APPLICATIONS QUICKLY AND MANAGE MULTIPLE ASSIGNMENTS SIMULTANEOUSLYABILITY TO TROUBLESHOOT, MAINTAIN, REVERSE ENGINEER AND OPTIMIZE EXISTING ETL PIPELINES.HANDS-ON EXPERIENCE WITH PYTHON, DATAFLOW AND CLOUD COMPOSERABILITY TO ANALYZE AND INTERPRET COMPLEX DATA, AND OFFER SOLUTIONS TO COMPLEX CLINICAL PROBLEMS.ABILITY TO WORK INDEPENDENTLY ON ASSIGNED TASKS.STRONG WRITTEN AND VERBAL COMMUNICATION SKILLS INCLUDING THE ABILITY TO EXPLAIN COMPLEX TECHNICAL ISSUES IN A WAY THAT NON-TECHNICAL PEOPLE MAY UNDERSTAND.EXCELLENT PROBLEM-SOLVING AND CRITICAL THINKING SKILLS.KNOWLEDGE OF IT GOVERNANCE AND OPERATIONS.

• Define data modeling standards and frameworks for the organization
• 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
• Define data transformation requirements and implement efficient solutions.
• Implement enterprise data management practices, standards, and frameworks for Data
• Ensure data governance and security best practices are followed
• Participate in code reviews and provide feedback on SQL queries and ETL pipelines
• Build automated validation processes for data integrity checks
• Partner with Data Product Owners to gather and refine requirements for data products.
• Work with senior leaders to define enterprise data strategy
• Translate business needs into technical designs that align with organizational goals.
• Drive adoption of standardized data modeling frameworkss
• Work closely with data engineers to implement complex models
• Advocate for data quality and integrity across all projects
• 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
• 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.
• Identify the best cloud architecture options to help the firm accomplish its strategic goals.
• Good understanding of cloud computing concepts
• Maintain and enforce enterprise data architecture guidelines, including data governance, cybersecurity, metadata management, and auditability.
• Define best practices for schema versioning and evolution
• Establish enterprise data governance policies
• Work with security teams to define data access control policies
• Collaborate with governance teams to enhance metadata management
• Enforce enterprise-wide data modeling standards
• Collaborate across various verticals to ensure compliance and data quality.
• 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.