Community Health Systems is one of the nation’s leading healthcare providers, developing and operating healthcare delivery systems across 37 distinct markets in 15 states. The organization operates 73 affiliated hospitals with over 10,000 beds, along with approximately 1,000 other healthcare sites, including physician practices, urgent care centers, and cancer centers, all committed to helping people live healthier lives and providing essential care close to home.
March 19
Community Health Systems is one of the nation’s leading healthcare providers, developing and operating healthcare delivery systems across 37 distinct markets in 15 states. The organization operates 73 affiliated hospitals with over 10,000 beds, along with approximately 1,000 other healthcare sites, including physician practices, urgent care centers, and cancer centers, all committed to helping people live healthier lives and providing essential care close to home.
• Direct the day-to-day activities of the Master Data Management Teams and collaborate with Functional Team Leads to ensure accuracy, accessibility, and security of data assets. • Establish data governance frameworks, policies, and standards to ensure data quality, integrity, and compliance. • Define and maintain the organization's data architecture, including data models, data flows, and data integration processes. • Implement data quality assessment and improvement processes to ensure data accuracy, consistency, and completeness. • Develop and enforce data security and privacy policies to protect sensitive and confidential data. • Establish master data management (MDM) processes and systems to ensure consistency and standardization of critical data elements across the organization. • Ensure compliance with relevant data privacy regulations such as GDPR, HIPAA or CCPA. • Effectively manages the team through workflow and delivery deadlines, anticipating and effectively communicating timelines, risks and/or barriers to leadership and stakeholders. • Facilitates effective communications among all team members and leadership to ensure comprehensive understanding of needs, expectations, and requirements. • Effectively delegates work according to prioritization from leadership, individual skill level, and capacity. • Leads Data Stewards responsible for advanced data modeling and database query activities. • Accountable for testing and validation of work product prior to delivery to stakeholders. • Responsible for efficient and effective work processes of the Data Management team. • Facilitates professional and skillset development of staff-level data. • Maintain regular and reliable attendance. • Perform other duties as assigned.
• Bachelor's Degree required, preferably in the areas of computer science, information technology, soft-ware engineering, or a related field. • Master's Degree (preferred) • 9+ years of experience. • Experience being part of a shared service organization • Must be able to manage a portfolio of work, lead and serve people, set expectations on work delivery, and effectively delegate according to individual skill and capacity. • Excellent communication skills [both written and verbal]. • Servant leadership abilities. • Relationship building skills. • Professional presence. • Proven track record of delivering high quality and actionable results.
• 401k • flexible PTO • generous Employee illness benefit (EIB) • medical • dental • vision • tuition reimbursement • Employee Assistance Program
Apply NowMarch 19
Oversee data activities and maintain the data architecture for Lifepoint Health's operations.
March 19
Directs Master Data Management for Lifepoint Health, ensuring data accuracy, accessibility, and security.
March 19
Lead Master Data Management at Lifepoint Health, directing teams and ensuring data integrity.
March 19
Director overseeing Master Data Management teams to maintain data quality and governance at Lifepoint Health.
March 19
Direct data management activities for Lifepoint Health, ensuring data quality and security. Collaborate across teams to maintain data governance and improve data processes.
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