Product Manager, Analytics
Product Manager, Analytics
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race color religion sex sexual orientation gender identity national origin disability veteran status or any other protected characteristic
Aperia 10 Kallang Avenue Tower 2 11-10/18
339510 Singapore
DHL Express - a company that connects people!
What makes DHL great Our People! We know each employees individual contributions make us the #1 Express Delivery and Logistics Company in the world.
Distinguished as No.1 Worlds Best Workplace by Great Place to Work and Fortune MagazineDHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our corporate culture is about personal commitment to our business to each other and to our global communities. DHL is dedicated to being a great place to work. Start YOUR career with DHL today.
Role Purpose
The Product Manager is an advanced-level position within the product and project management job family. This role involves managing the lifecycle of a product defining product strategy managing a portfolio of projects and driving product development and innovation. Analytics scope focuses on AI and ML-powered products/services.
The role location is Singapore or Cyberjaya Malaysia.
How will you contribute to the success of DHL
- 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.
- 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.
- Ensure appropriate change management is conducted in business processes.
- 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.
Do you have what it takes
- Advanced degree or equivalent experience in: Computer Science Engineering Information Systems. 10 years of experience in Data Analytics.
- 7 years of experience in Data-intensive product development. Professional Certification in Agile (preferable).
- 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.
- 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.
- 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.
Required Experience:
IC
Employment Type
Full-Time
