Director, Master Data Management - Supply Chain (Data Analytics & Management)

Community Health Systems Professional Services Corporation•Franklin, TN

2d•Hybrid

About The Position

The Director, Master Data Management - Supply Chain is responsible for overseeing data lifecycle management, ensuring data is accurately ingested, stored, and prepared for analysis. This role holds primary responsibility for Supply Chain Data, including the Item Master. The position manages data engineers and collaborates with IT to maintain a scalable data warehouse architecture. It includes leading a team of data analysts and engineers while working with stakeholders to understand and meet their data needs. The goal is to drive data-driven decision-making across clinical, operational, and executive areas of the organization with a critical focus on the integrity and governance of supply chain item data and pricing. As the Director, Master Data Management - Supply Chain at Community Health Systems (CHS), you’ll play a vital role in supporting our purpose to help people get well and live healthier by providing safe, quality healthcare, building enduring relationships with our patients, and providing value for the people and communities we serve. Our team members enjoy a robust benefits package including medical, dental and vision insurances, 401k (with match), and a variety of other elective options.

Requirements

Bachelor's Degree in Computer Science, Data Science, Statistics, Healthcare Informatics, or a related field required
8-10 years progressive experience in data management, data warehousing, or data analytics, with at least 3 years in the healthcare industry required
8-10 years experience leading data teams, managing complex data projects, and working with large healthcare datasets preferred
5-7 years experience with data governance and compliance in a healthcare setting is highly valued preferred
Strong working knowledge and experience with Oracle Item Master and Data Governance strongly preferred
Technical Knowledge: Data Warehousing and Architecture:
Strong understanding of data warehousing concepts, methodologies, and best practices (e.g., Kimball, Inmon).
Experience designing, developing, and maintaining data warehouses and data marts.
Proficiency in data modeling techniques (e.g., dimensional modeling, star schema).
Healthcare Data and Systems:
Knowledge of healthcare data standards (e.g., HL7, FHIR, ICD-10, LOINC).
Experience working with electronic health records (EHRs), claims data, and other healthcare data sources.
Deep operational understanding of Supply Chain Operations and their impact on the Item Master, Vendor Master, and hospital day-to-day operations.
Understanding of HIPAA regulations and data privacy best practices in healthcare.
Cloud Technologies (Preferred):
Experience with cloud-based data warehousing solutions (e.g., Oracle, Amazon Redshift, Google BigQuery, Azure Synapse Analytics).
Familiarity with cloud computing concepts and services.
Data Analysis and Visualization:
Proficiency in SQL and other data manipulation languages.
Experience with data visualization tools (e.g., Tableau, Power BI) to create dashboards and reports.
Familiarity with statistical analysis methods and their application to healthcare data.
Proven ability and aptitude to data mine, develop reports, and assimilate data to profile items and identify trends.
Data Management and ETL:
Expertise in data extraction, transformation, and loading (ETL) processes.
Experience with ETL tools (e.g., Informatica, SSIS, DataStage) and scripting languages (e.g., Python, SQL).
Strong understanding of data quality management, data cleansing, and data validation techniques.
Soft Skills:
Leadership and Communication:
Proven ability to lead and mentor technical teams.
Must possess innate leadership qualities, including strategic vision, coaching, and a focus on process improvement and automation.
Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts to non-technical audiences.
Strong presentation skills for delivering data-driven insights to stakeholders.
Adaptability and Continuous Learning:
Ability to adapt to changing technologies and healthcare industry trends.
Passion for continuous learning and staying up-to-date with the latest advancements in data management and analytics.
Collaboration and Problem-Solving:
Collaborative work style with the ability to effectively interact with stakeholders across different departments.
Must be highly cross-functional
Strong analytical and problem-solving skills with a data-driven approach.

Nice To Haves

Master's Degree in Computer Science, Data Science, Statistics, Healthcare Informatics, or a related field preferred
8-10 years experience leading data teams, managing complex data projects, and working with large healthcare datasets preferred
5-7 years experience with data governance and compliance in a healthcare setting is highly valued preferred
Strong working knowledge and experience with Oracle Item Master and Data Governance strongly preferred
Cloud Technologies (Preferred):
Experience with cloud-based data warehousing solutions (e.g., Oracle, Amazon Redshift, Google BigQuery, Azure Synapse Analytics).
Certifications in relevant areas such as data warehousing, cloud computing (Oracle, AWS, Azure), or healthcare data analytics are highly desirable preferred

Responsibilities

Leads and mentors a team of data analysts and engineers, providing technical guidance, fostering professional development, and ensuring high-quality work output. This includes mentoring the team on item master data management within Oracle.
Oversees the development and maintenance of a robust and scalable data warehouse architecture, leveraging industry best practices and cutting-edge technologies to handle complex and high-volume healthcare data.
Leads the entire data lifecycle, from ingestion from diverse sources (hospitals, clinics, EDs, etc.) to onboarding, warehousing, transformation, and preparation for analysis. This includes managing all item builds in Oracle, ensuring accurate vendor, description, pricing, and, and managing the price feed from our GPO.
Collaborates with IT infrastructure teams to ensure seamless data flow, system integration, and optimal performance of data management systems. Integrate multiple systems and reconcile needs of different teams and communicate with stakeholders to understand issues and requirements
Works closely with the GPO on data synchronization and discrepancy resolution.
Directs systems’ development, implementation, and support to meet the needs of CHS departments, to provide data and other information ended to research specific usage trends, and to provide historical hospital data to internal and external vendors for research and analysis as needed.
Works closely with IS to ensure that data integrity of a central repository of historical data from all facilities, used for consolidated company-wide reporting and systems.
Monitors usage of data infrastructure, and recommends hardware and software upgrades and / or purchases to ensure that growing demands for information and data usage is available to corporate users, senior and executive management, and facilities timely and accurately.
Reports on the status and progress of all Data Management projects and operations, and makes recommendations for modifications of systems as needed.
Responsible for the hiring, training, and daily supervision of all Data Management staff, providing leadership and management of the department through coaching, empowering, and facilitating employees working in a team environment.
This Director is expected to have strong innate leadership qualities and drive process improvement.
Performs other duties as assigned.
Maintains regular and reliable attendance.
Complies with all policies and standards.