Senior Product Manager, Analytics & AI

Job SummaryThe Product Manager leads product lifecycle management and strategy for AI and ML-powered analytics products, driving innovation and business impact through cross-functional collaboration and data-driven decision-making.ResponsibilitiesDefine product vision, strategy, and roadmap by conducting business research, analyzing customer needs, and assessing competitive landscapesOwn and manage business impact metrics, product roadmap, and budget to ensure alignment with strategic goalsCollaborate with cross-functional teams including business, engineering, and BI/AI to develop and launch new products or enhancementsConduct audience and process research to identify customer needs and growth opportunities for productsLead product and project teams to deliver outcomes on time, within budget, and meeting quality and governance standardsPrioritize product features and enhancements to maximize business impact while optimizing time-to-market and costsCollect and integrate feedback from customers, stakeholders, and market trends to continuously improve productsImplement change management strategies to align business processes with product solutionsDevelop and lead training and user engagement strategies to drive adoption of new solutionsManage contracts and budgets related to software, hardware, and professional servicesMonitor emerging data development technologies and methodologies, applying relevant innovations to analytics developmentRequirementsAdvanced degree or equivalent experience in Computer Science, Engineering, or Information Systems10 years of experience in Data Analytics7 years of experience in data-intensive product developmentProven experience working with analytics and ML/AI solutionsStrong practice with Agile development methodologies, DevOps, and product management toolsExcellent communication and presentation skills, capable of conveying product concepts to internal stakeholders including C-level executivesPreferred competencies and qualificationsProfessional Certification in Agile (preferred)Knowledge of functional areas such as customer relationships and sales, e-commerce, freight forwarding, express/logistics operations, and service operations