
Product Manager
2 days ago
Your new company
You will be working with one of the major logistics service providers in Singapore to define the product strategy and data optimisation of the digital products within supply chain. This role involves managing the lifecycle of a product, defining product strategy, managing a portfolio of projects, and driving product development and innovation.
Your new role
As a Data Analytics Product Manager, you will be responsible for:
- You will be the key person to bridge the gap between technology and business objectives, by developing and communicating a clear product vision and strategy aligned with the company’s overall supply chain goals.
- 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 road maps.
- Prioritize product features and enhancements, working closely with development teams to ensure timely delivery.
What you'll need to succeed
- Degree in Computer Science, Engineering or relevant field.
- At least 7 years of experience in product management with a focus on data analytics.
- Prior to working experience in ML/AI solutions or data-intensive products.
- Strong understanding of end-to-end (E2E) supply chain processes, technology trends and industry best practices.
- Cross-disciplinary understanding at least one of the business functions, such as logistics, warehouse, fulfilment, customer relationships, e-commerce
- Familiar with emerging technologies such as DevOps, blockchain, IoT and AI in the context of supply chain management.
- Proven track record in leading large-scale projects, as well as cross-functional platforms in various systems' life-cycle
- Excellent communication, interpersonal, and collaboration skills with the ability to work effectively with diverse teams and stakeholders.
- An innovative and disruptive mindset, constantly looking forward.
- Good understanding of data modelling principles, data visualisation tools ie Tableau/Power BI/Cognos, DataOps, Cloud storage and hosting
What you'll get in return
In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.
What you need to do now
If this job isn't quite right for you, but you are looking for a new position within Digital Transformation, Projects & Change, please contact us as well.
EA Reg Number: R22107752
EA License Number: 07C3924 | Company Registration No: 200609504D
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