Program Manager Clear Creek Federal is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our team
Type of Requisition:Regular Clearance Level Must Currently Possess:Secret Clearance Level Must Be Able to Obtain:Secret Public Trust/Other Required:None Job Family:Human Resources Job Qualifications: Skills:Database Administration, Resource Tracking, Staff Planning Certifications:None Experience:5 + years of related experience
Essential Duties and Responsibilities: - Supervise a designated team of unit staff - Responsible for the training and development of unit staff - Monitor the activities, schedules, productivity and work product results of the assigned unit
Essential Duties and Responsibilities: - Manage delivery of a defined program, ensuring achievement of schedule, cost, quality, compliance, and client satisfaction objectives. - Oversee day-to-day program execution, including planning, resource coordination, workload management, and monitoring progress against performance targets.
Essential Duties and Responsibilities: - Manage day-to-day operational aspects of a project and scope including facilitating and preparing all planning activities and artifacts. - Oversee and manage large multi-project programs including planning, organizing, staffing, leading, and controlling
Job Description Essential Duties and Responsibilities: - Oversee and manage the Projects financial performance, including budgeting, forecasting, and analyzing profit and loss statements to ensure financial targets are met and profitability is maintained. - Ensure program operations
- Train, mentor and coach less tenured change management analysts. - Partner with product management team to see changes through implementation. - Partner with project management team to see changes through implementation. - Communicate directly with the client. -
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