Senior Product Manager, Analytics & AI

Job Summary

The 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.

Responsibilities

• Define product vision, strategy, and roadmap by conducting business research, analyzing customer needs, and assessing competitive landscapes


• Own and manage business impact metrics, product roadmap, and budget to ensure alignment with strategic goals


• Collaborate with cross-functional teams including business, engineering, and BI/AI to develop and launch new products or enhancements


• Conduct audience and process research to identify customer needs and growth opportunities for products


• Lead product and project teams to deliver outcomes on time, within budget, and meeting quality and governance standards


• Prioritize product features and enhancements to maximize business impact while optimizing time-to-market and costs


• Collect and integrate feedback from customers, stakeholders, and market trends to continuously improve products


• Implement change management strategies to align business processes with product solutions


• Develop and lead training and user engagement strategies to drive adoption of new solutions


• Manage contracts and budgets related to software, hardware, and professional services


• Monitor emerging data development technologies and methodologies, applying relevant innovations to analytics development

Requirements

• Advanced degree or equivalent experience in Computer Science, Engineering, or Information Systems


• 10 years of experience in Data Analytics


• 7 years of experience in data-intensive product development


• Proven experience working with analytics and ML/AI solutions


• Strong practice with Agile development methodologies, DevOps, and product management tools


• Excellent communication and presentation skills, capable of conveying product concepts to internal stakeholders including C-level executives

Preferred competencies and qualifications

• Professional Certification in Agile (preferred)


• Knowledge of functional areas such as customer relationships and sales, e-commerce, freight forwarding, express/logistics operations, and service operations