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

Senior Product Manager, Analytics & AI