Define product vision, strategy, and roadmap based on business research, customer (internal/external) needs, and competitive analysis.
Own business impact metrics, roadmap, and product budget.
Cross-functional Collaboration and Development
Collaborate with cross-functional teams, including business, engineering, and BI/AI, 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 to achieve target business impact, working closely with development teams to ensure time-to-market and optimal costs.
Gather and incorporate feedback from customers, stakeholders, and market trends to continuously improve products.
Change Management and Adoption
Ensure appropriate change management is conducted in business processes.
Define and lead training and user engagement strategy to ensure solution adoption.
Budget and Technology Oversight
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.
Do you have what it takes
Experience and Qualifications
Advanced degree or equivalent experience in: Computer Science, Engineering, Information Systems.
A decade or more of experience in Data Analytics.
Over seven years of experience in Data-intensive product development.
Professional Certification in Agile (preferable).
Core Product Management Skills
Strong product management skills, with experience in product strategy, roadmap planning, and product lifecycle management.
Good research and analysis skills, with the ability to gather and synthesize customer feedback and market trends.
Strong collaboration and stakeholder management skills, with the ability to work effectively with cross-functional, cross-cultural teams.
Strong practice with Agile development methodologies, DevOps, and product management tools.
Proven record of working with analytics, and ML/AI solutions.
Communication and Domain Knowledge
Excellent communication and presentation skills to effectively convey product concepts and benefits to internal stakeholders; ready to present to C-level.
Good knowledge of at least one of the functional areas: customer relationships and sales, e-com/freight forwarding/express/logistics operations, and service operations.
Key Competencies
Analytical: Synthesize complex or diverse information; Able to source and prepare data; Design data flows and Data models; Challenge and re-validate conclusions.
Design: Apply design principles; Demonstrate attention to detail.
Problem Solving: Identify and resolve problems in a timely manner; Foresee and communicate potential issues; Develop alternative solutions; Work well in group problem-solving situations.
Business Acumen: Understand the business implications of data for decisions.
