Define product vision, strategy, and roadmap based on business research, customer (internal / external) needs, and competitive analysis.
Collaborate with cross-functional teams, including business, engineering, and BI / ML, to develop and launch new products or enhancements.
Conduct audience and process research and analysis to identify customer needs and opportunities for product growth.
Lead and manage product and project teams to ensure that delivery is up to impact outcomes, time, cost, quality, governance, and satisfaction, as per agreed product roadmaps.
Prioritize product features and enhancements, working closely with development teams to ensure timely delivery.
Gather and incorporate feedback from customers, stakeholders, and market trends to continuously improve products.
Define and lead training and user engagement strategy to ensure solution adoption.
Responsible for software, hardware, and professional services contracts and budgets.
Monitors the emergence of new data development technologies and methodologies and where appropriate applies it to the data analytics development process.
Job 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 record of working with analytics, and ML / AI solutions.
Professional Certification in Agile (preferable).
Good knowledge of at least one of the functional areas : customer relationships and sales, e-com / freight forwarding / express / logistics operations, and service operations.
Experience with data modeling principles, DWH.
Experience with Tableau / Power BI / Cognos.
Experience working Agile and DevOps; familiar with DataOps.
Understanding of cloud storage, hosting, and computing environments.
Must be able to work collaboratively with cross-functional cross-geographical teams to analyze and understand business needs.
Good oral and written English : ready to present to a technical audience.