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Software Applications ManagerTexas State Library and Archives Commision • United States
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Software Applications Manager

Texas State Library and Archives Commision
  • US
    United States
  • US
    United States
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À propos

Position Summary: We are seeking an experienced IT & OT Software and Applications Manager to lead a team of software developers, application specialists, and data scientists. This role is responsible for designing, developing, and maintaining business and operational software systems that drive efficiency, quality, and innovation. The manager will collaborate with IT, OT, and business teams to ensure software aligns with business objectives, supports key processes, and delivers measurable value.
Key Responsibilities: Lead, mentor, and manage a team of developers, data scientists, product owners, and analysts. Oversee software development for ERP, custom applications, and data platforms, ensuring quality, scalability, and secure coding practices. Collaborate with stakeholders to understand business needs, prioritize features, and develop solutions that deliver value. Manage project delivery using agile methodologies, including Scrum and Kanban, ensuring timelines, budgets, and quality goals are met. Establish and monitor team performance metrics (OKRs/KPIs) and software system effectiveness. Drive system support, troubleshooting, and end-user training programs to maximize adoption and operational efficiency. Maintain security and compliance standards, including secure coding, audits, and adherence to data privacy regulations. Stay current on technology trends, applying new approaches to improve software performance and business outcomes.
Qualifications:
Required: Bachelor's degree in IT, Software Engineering, or related field (or equivalent experience). 7-10 years in software development or application management. 3-5 years managing teams of 15-25+ IT professionals. Experience with .NET, JavaScript, ERP systems (preferably JD Edwards), agile development, and secure coding practices.
Experience managing data science teams, including analytics, machine learning, and data governance.
Preferred: Experience with DevOps, CI/CD pipelines, automated testing, and enterprise architecture. Experience using AI development tools to improve productivity in ERP and custom software environments.
Skills: Strong leadership, team development, and conflict resolution skills. Analytical and creative problem-solving ability. Collaborative, customer-focused mindset with attention to detail. Ability to learn and apply emerging technologies.
  • United States

Compétences linguistiques

  • English
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