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# Director Data Engineering and Data Management

- **Company:** HCA Healthcare Inc.
- **Location:** Nashville, TN, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Cloud Engineering, Information Systems, Data Architecture, Information Engineering, Data Governance, Database Development, Digital Assets, Metadata, Meta-Data Management, Metadata Standards, Power BI, DataOps, Technical Data Management Systems, Enterprise Data Management, Google Cloud, Information Technology, Data Management, Data Delivery, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://dejobs.org/x/x/2D638B6BBA5E49C3B203A1F76E3D0862/job/

## About the Role

* Bachelor's degree in Computer Science, Information Systems, Data Engineering, Analytics, or related field required
 * 3+ years of experience in leadership role required
 * 3-5+ years of experience leading technical data teams or complex cross-functional data initiatives required
 * 7+ years of experience in progressive experience with data engineering, analytics engineering, data architecture, data management, BI engineering, or related data roles preferred
 * Experience supporting HR, workforce, healthcare, or other highly governed data domains preferred
 * Demonstrated experience designing, modernizing, and governing enterprise-scale data assets preferred
 * Experience with Google Cloud Platform preferred
 * Experience partnering with centralized data, architecture, IT, governance, or AI teams in a complex enterprise environment preferred
 * Experience managing or developing technical analysts, analytics engineers, data engineers, or architecture resources preferred
 * Experience with data governance, metadata management, MDM, and data quality programs preferred

Licenses, Certifications, & Training:

 * Google Cloud Professional Data Engineer or Professional Cloud Architect certification preferred
 * Relevant certifications in data governance, analytics engineering, cloud architecture, data quality, or Power BI preferred

## Description

The Director of Data Engineering and Data Management is responsible for leading the strategy, development, governance, and delivery of HR data assets that enable reporting, analytics, self-service insights, and emerging AI-enabled capabilities. This role provides technical and organizational leadership across data engineering, data modeling, metadata management, data quality, and governance practices. Working closely with HR, IT, Enterprise Data, and Analytics teams, the Director translates business needs into scalable, trusted, and reusable data products. The role is accountable for modernizing data delivery practices, establishing technical standards, and ensuring HR data assets are secure, well-governed, and positioned to support enterprise reporting, advanced analytics, and future AI initiatives.

This role will work a hybrid schedule out of our Capital View office in Nashville, TN.

Major Responsibilities:

 * Lead the design, governance, and lifecycle management of HR data products, data models, metadata, master data, lineage, and quality standards.
 * Partner with HR, Enterprise Data, IT, BI, and Analytics teams to translate business requirements into scalable data products, data models, metadata standards, quality controls, and delivery priorities.
 * Serve as HR's primary liaison to the Enterprise Data Office, influencing priorities, validating delivered solutions, and ensuring alignment with HR business requirements.
 * Establish data product roadmaps, priorities, and delivery plans aligned with HR and enterprise strategic objectives.
 * Lead the design and governance of HR data models, curated datasets, master data structures, semantic-layer enablement, metadata, lineage, and quality standards.
 * Drive modernization of HR data assets through cloud-native architecture, automation, DataOps practices, and reusable engineering patterns.
 * Provide technical oversight of data pipelines, transformation logic, SQL development, and data quality processes to ensure trusted and scalable data delivery.
 * Establish and mature data governance, stewardship, documentation, and ownership practices across HR data domains.
 * Build and develop a high-performing technical team while fostering accountability, technical excellence, and continuous improvement.
 * Evaluate and prepare HR data assets for emerging AI, automation, and advanced analytics use cases.