Director Data & Analytics

Director, Applications, Data & Analytics

Job Category
:
Information Technology

Requisition Number
: DIREC
003325

Employment Type
:
Full-Time

Jackson, MS 39202, USA

The Director, Applications, Data & Analytics is responsible for leading the strategy, delivery, integration, and optimization of the organization’s enterprise applications, software development, data engineering, reporting, analytics, and business intelligence functions across a mission-driven behavioral health organization serving children, families, schools, and communities. This role oversees application development and support, enterprise integrations, data warehousing, reporting and visualization, data governance, analytics operations, and AI-enabled solutions to ensure scalable, secure, reliable, and data-driven technology capabilities that support operational efficiency, organizational decision-making, and digital transformation initiatives, while maintaining compliance with healthcare regulations, including HIPAA and related privacy and security standards.

The position partners closely with executive leadership, administrative leaders, solution leaders, and technology stakeholders to align applications, data strategies, analytics capabilities, automation, and emerging technologies with organizational priorities while driving continuous improvement in system performance, reporting accuracy, workflow efficiency, user experience, and organizational effectiveness.

• Bachelor’s degree in Business Administration, Computer Science, or related field and a minimum of 5 years of managerial experience.
• In-depth knowledge with a variety of Applications Management, development concepts, practices, and procedures.
• A minimum of five (5) years of experience within the past ten (10) years, managing an SDLC, including business and system requirement specification, design, development, testing, and implementation, on Projects involving large and complex IT systems.
• Experience with the following programs:
  Microsoft SQL Server, Oracle, Microsoft Windows, Microsoft Visual Studio, TSQL, Advanced SQL, HTML, CSS.

Applications & Software Development Leadership

• Lead and oversee all enterprise application development, maintenance, and software delivery functions across the organization.
• Support enterprise applications and systems that enable clinical, operational, and administrative workflows, ensuring accurate data capture, system reliability, and alignment with reporting and regulatory requirements.
• Direct design, development, implementation, enhancement, and support of enterprise applications, operational systems, reporting platforms, and custom business solutions.
• Oversee the software development lifecycle (SDLC) process including technical design, coding, testing, deployment, release management, and production.
• Lead application modernization, workflow optimization, operational automation, and digital transformation initiatives.
• Manage Dev Ops, release management, QA/testing, and application support processes to ensure stable, secure, and reliable application performance.
• Provide leadership escalation support for critical enterprise application and system-related issues.

Data, Analytics & Reporting

• Lead enterprise data engineering, data integration, data warehousing, reporting, analytics, and business intelligence.
• Oversee the development and support of dashboards, operational reporting, visualization tools, and analytics solutions using platforms such as Power BI and SQL reporting.
• Ensure enterprise reporting environments provide accurate, timely, actionable, and decision-ready insights for executive leadership, operational leaders, clinical teams, and external stakeholders.
• Establish and enforce data governance, data quality, reporting standards, master data management, and data integrity practices across enterprise systems and analytics.
• Monitor analytics outcomes, reporting effectiveness, operational KPIs, and data performance metrics to support continuous improvement and data-driven decision‑making.
• Evaluate, implement, and optimize AI‑enabled technologies, AI‑assisted analytics capabilities, automation…