Job Attributes

Work Schedule/Shift


Job ID


Req. No


Job Title

Program Manager, Health Equity Data Management & Analytics


CHRISTUS System Office




Not Defined






CHRISTUS Health-68600


919 Hidden Ridge
Irving, TX  75038


Full Time

Apply Now Program Manager, Health Equity Data Management & Analytics Job in Irving


The Program Manager, Health Equity Data Management & Analytics will guide and manage the integration of health equity data management and analytics for CHRISTUS Health. This expert level technical leadership role will involve acquiring, structuring and enabling data so that it can be used in both reports and analyzing data across multiple system touch points. This individual will be responsible for managing the operational activities of the Health Equity team involving all data management & analytics. This individual will also act as the liaison between the business users/stakeholders and the IM and Finance teams. The Program Manager will lead the development of the Health Equity, Diversity and Inclusion (HEDI) Business Intelligence architecture, standards and documentation, in collaboration with the BI Team, for ad-hoc and production services.

The Program Manager will establish work priorities, and plans; directs and monitors project work. Maintains HEDI Compass 2020 metrics and project issues and provide updates to the Health Equity, Diversity, and Inclusion Council and communicates to the project steering teams on progress of critical path items. The Program Manager will gather and evaluate information concerning a ministries' conceptual needs, estimate and schedule project activities and associated costs, coordinate and participate in analysis/design/coding activities, ensure that system changes are fully tested, ensure users are fully trained and prepared, associated guidelines and procedure requirements are met, and coordinate implementation of changes. This position will report to the Director, Health Equity.


  • Deliver analytics project work stream through direct ownership of data ingestion, validation, mining, and engineering, as well as modeling, visualization, and communication deliverables. Serve as with data science, big data, and visualization expert.
  • Operationalize, integrate multiple data sets, and ensure databases and data-feeds are optimally functioning and stabilized across multiple EHR, financial, and market strategy platforms
  • Build and enable tools that help the organization translate reporting & insights into action at scale
  • Drive new metrics, tracking methodologies and data visualization to better understand patient experience, health needs, patient behavior, patient health determinants
  • Utilize a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory analyses that will reveal insight and opportunities
  • Build analytics solutions using variety of big data technologies and analytics tools, and create robust documentation of methodologies, underlying design decisions, operating procedures, and solutions
  • Support seamless execution of governance and executive level reporting
  • Lead business requirements development, documentation and tracking needs by partnering closely with IM team
  • Provide technical expertise to IM in setup, implementation, and maintenance of HEDI business intelligence design methodology, tracking, tagging and processes
  • Support the team by relating problem solving from his/her own real world experiences
  • Evaluate industry best practices for patient satisfaction, and achieving health equity, from dashboards, performance tools, and operational opportunities
  • Manages and supports cross-functional analytics team requests with ad-hoc data-mining and reporting requests
  • Directs the design for health equity predictive analytics modeling
  • Spearhead health equity data analytics by gathering, compiling, modeling, validating, and analyzing data needed by the organization; as well as guide the progressive development of automated health equity reporting.
  • Develop and implement structure for geo-spatial decision support reporting to regions with dynamic real-time indicators to inform systemic and public policies.
  • Manage multiple projects, as well as meet time constraints and expectations.
  • Other duties, as assigned.


A. Education/Skills

  • Master's degree in a related field strongly preferred.
  • Advanced knowledge of Project Management and/or very strong technical skills
  • Advanced knowledge of Microsoft Excel, required
  • Advanced knowledge of Microsoft Powerpoint, required
  • Advanced knowledge of ArchGIS, strongly preferred
  • Advanced knowledge of Microstrategy, strongly preferred
  • Advanced knowledge of SSMS, SSIS, SQL Server, SAS Enterprise Guide, strongly preferred
B. Experience
  • Previous experience managing people and projects of large to high-profile scope and complexity.
  • Health care data analysis, development and maintenance of data systems/methods/designs, and programming to drive visualization and industry best practice reporting (Microstrategy, SAS-EG, SQL), or statistical analysis.
  • Minimum of 5 years detailed analytics experience with patient quality data
  • Experience in measurement and evaluation
  • Working with Big Data and/or data systems; predictive modeling for risk behaviors in healthcare; geo-spatial analysis; data collection methods and data quality management techniques; database management concepts and requirements gathering, and data presentation or informatics.
  • Understanding of health care regulations, and quality reporting (i.e., Joint Commission, National Committee for Quality Assurance, CMS, etc.)
  • Managing cross-functional teams to achieve goals on or ahead of schedule.
  • Strong knowledge of population health segmentation, Predictive Analytics, Exploratory data analysis, Data mining, (tagging implementation and data extraction) and marketing models such as profit, response models
  • Knowledge and understanding of database management, Big data tools
  • Experience with translating business requirements and technical requirements
  • Expert knowledge of automated systems in a production/operations environment
  • Excellent time-management skills and organizational agility, including the ability to effectively balance multiple deliverables, cross-functional partners and priorities under tight timeliness
  • Strong hands-on experience with extracting multiple data-sets, writing complex SQL queries & building Excel tables
  • Ability to conduct detailed root-cause analyses, integrate multiple data sets, generate insights and provide innovative business solutions

C. Licenses, Registrations, or Certifications

  • Certified SAS Professional, preferred.
  • Certified SQL Professional, preferred
  • MIDASPlus Certification, preferred
  • EMR or Healthcare data platforms Certification, preferred
  • PMI or Agile Certification preferred.
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