Top Senior Level Jobs in Richmond, VA

The Lead Sr. Business System Analyst will lead requirements definition, data and systems analysis, and quality assurance while collaborating with stakeholders, particularly in the financial services industry.

The MQ Developer is responsible for message broker development utilizing IIB 9.0 and MQ 7.5, along with ESQL, Java, and XML. Experience with web services and integration patterns is required, along with a minimum of 6-7 years in this field.

Lead Oracle CPQ product strategy and roadmap for sales quoting and Q2O processes. Translate business needs into features, prioritize backlog, oversee delivery, UAT, deployments, integrations, and drive user adoption through training and documentation. Collaborate with cross-functional teams, use data to prioritize, optimize processes, and surface emerging trends to senior leadership.

The Site Automation Engineer manages automated systems, supports project development and compliance in biopharmaceutical manufacturing, and collaborates with internal teams across multiple functions, ensuring efficient operations.

The Senior Traffic Engineer will perform transportation planning studies, deliver traffic analyses for projects, and manage client interactions and technical teams.

The Senior Azure Infrastructure Engineer will design, implement, and manage cloud infrastructure solutions in Azure, ensuring security and efficiency, and providing technical guidance to teams.

Lead strategy, design, and delivery of curriculum and certification programs. Oversee program development, quality assurance, stakeholder engagement, and a cross-functional team to ensure learning goals and certification standards are met.

The Supervising Mechanical Engineer will coordinate and supervise projects, manage staff, participate in budgeting and provide technical training while ensuring seamless interaction with clients and contractors.

The Google Workspace Administrator will manage and integrate Google Workspace environments, support M&A efforts, and collaborate on security and identity management processes, while automating tasks through scripting.

Develop and enhance predictive models for search and recommendations using large datasets, statistical methods, and machine learning. Incorporate new data sources, design controlled experiments, communicate insights to senior leadership, research emerging methodologies, and help shape the data science roadmap. The role also requires collaboration, project delivery, and explaining technical concepts to technical and non-technical audiences.