Client Delivery Manager

Oversees the delivery of DealCloud solutions to clients, ensuring successful implementation and adoption. Manages delivery teams, coordinates with clients, and optimizes delivery processes.

The Delivery Manager role is responsible for overseeing the end-to-end delivery of projects or services, ensuring they are completed on time, within scope, and to quality standards. The role involves coordinating cross-functional teams, managing stakeholder expectations, and driving continuous improvement in delivery processes.

This role leads client engagements, managing project timelines, resources, and stakeholder communication to ensure successful delivery. It requires strong project management and client relationship skills.

This role delivers and implements TeamSystem's HR solutions for clients, ensuring successful onboarding, configuration, and adoption. The Delivery Consultant works closely with clients to understand their HR processes, provides training and support, and ensures the solutions meet business requirements.

This role leads product management for a Trade Promotion Management (TPM) and Consumer Packaged Goods (CPG) SaaS platform. The Product Manager will define the product roadmap, gather requirements from CPG clients, and collaborate with engineering to deliver features that optimize trade promotion planning and analytics. Success requires deep domain expertise in CPG trade promotion workflows and strong cross-functional leadership.

This role develops and maintains Power BI reports and dashboards to support business decision-making. The developer will work with stakeholders to understand reporting needs, design data models, and create interactive visualizations. Proficiency in Power BI, SQL, and data modeling is required.

This role leads a team of data scientists to develop advanced analytics and machine learning models that drive business value. The Lead Data Scientist will define the analytical roadmap, mentor junior team members, and collaborate with product and engineering to deploy models into production. Strong expertise in statistical modeling, Python, and cloud platforms is required.