Position Overview The Financial Planning & Analysis Manager - Data Analytics is a high-impact leadership role designed to modernize the finance function through advanced data architecture and analytical rigor. This position will report to the Sr.
AI Security And Governance Lead The AI Security And Governance Lead is responsible for establishing and advancing the secure, compliant, and responsible use of AI across enterprise platforms and client environments. This role designs and leads
Pass Road HQtrs 2602 Pass Road Biloxi, MS 39531, USA Description JOIN THE KEESLER FEDERAL CREDIT UNION TEAM! Keesler Federal Credit Union team members enjoy competitive salaries and a wide range of benefits, some of which
Keesler Federal Credit Union seeks a Director of Data and Analytics to lead the enterprise analytics program and build a scalable data culture across departments. You will drive the strategy, governance, and modernization of analytics platforms
AI Senior Business Analyst The AI Senior Business Analyst is responsible for strategic planning and innovation work products through the analysis of external and internal business functions and process requirements. This role collaborates with stakeholders to
Operations Manager Georgia-Pacific is currently seeking an Operations Manager at the Taylorsville, Mississippi Plywood location. As Operations Manager, you will drive operational excellence, safety, and team development at our plywood manufacturing facility. Youll lead a dynamic
Your Job Georgia-Pacific is currently seeking an Operations Manager at the Tay l o r s v i l le, MS Plywood location. As Operations Manager, you will drive operational excellence, safety, and team development at
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with