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Manager, Enterprise Applications

Focus GTS
Sleepy Eye, MN Full Time
POSTED ON 3/23/2025
AVAILABLE BEFORE 4/16/2025

Position Overview & Responsibilities

This individual will oversee the effective management of enterprise applications, data analytics, and business intelligence tools. This role involves ensuring the seamless operation, integration, and optimization of software applications while leveraging data insights to support strategic decision-making. The ideal candidate will have a strong background in IT management, application lifecycle management, and data analytics.

Major Areas of Accountability

Application Management :

  • Oversee the lifecycle management of enterprise applications, including deployment, maintenance, upgrades, and decommissioning.
  • Ensure applications are aligned with business needs and are effectively integrated with existing systems.
  • Implement best practices for application security, reliability, and performance.
  • Monitor and optimize application performance, ensuring minimal downtime and efficient resource utilization.

Data Analytics / BI :

  • Lead the development and implementation of analytics and business intelligence strategies.
  • Oversee the design, development, and deployment of data models, reports, dashboards, and other analytics tools.
  • Collaborate with stakeholders to identify key metrics, KPIs, and reporting requirements.
  • Ensure data quality, accuracy, and consistency across all analytics platforms.
  • Use data-driven insights to support business strategies and decision-making processes.
  • Education, Training and Experience Requirements :

  • Minimum formal education required : Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field.
  • Minimum of 5 years of experience in IT management, application management, or analytics.
  • Strong knowledge of data analytics tools (e.g., Tableau, Power BI, SQL) and enterprise software systems (e.g., ERP, CRM).
  • Additional Desirable Skills / Qualifications

  • Cloud technologies (Public, Private, Dedicated, Hybrid).
  • Knowledge of data governance and data management best practices.
  • Certification in ITIL, PMP, or relevant analytics tools.
  • Continuous Improvement tools experience
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