Senior Product Manager, AI & Data Analytics

DHL Express; Cyberjaya; On-site; MYR 240,000 - 420,000; Full time

Job summary

DHL Express in Malaysia (Cyberjaya) seeks a senior Product Manager to own the lifecycle of data-driven products, define strategy, and drive innovation across projects. You will collaborate with business, engineering, and BI/AI teams to deliver impactful solutions.

Candidates should have 10+ years in data analytics and 7+ years in data-intensive product development, with an advanced degree in CS/Engineering/IS and strong agile leadership.

Qualifications

• 10+ years of experience in Data Analytics.
• 7+ years in data-intensive product development.
• Advanced degree in Computer Science, Engineering or Information Systems.
• Strong product management skills and cross-functional collaboration.

Responsibilities

• Define product vision, strategy, and roadmap.
• Own business impact metrics, roadmap, and product budget.
• Collaborate with business, engineering, and BI/AI teams to develop products.
• Lead product and project teams to meet time, cost, quality and governance targets.
• Prioritize features for time-to-market and cost efficiency.
• Gather feedback from customers, stakeholders, and market trends.
• Define and lead change management and training strategies.
• Manage software, hardware, and services contracts and budgets.
• Monitor new data development technologies and apply where appropriate.

Skills

Product management

Roadmap planning

Agile methodologies

Stakeholder management

Cross-cultural teams

Data analytics

ML/AI solutions

Communication skills

Education

Advanced degree in Computer Science or Engineering or IS

Tools

Agile tooling

Job description

DHL Express in Malaysia (Cyberjaya) seeks a senior Product Manager to own the lifecycle of data-driven products, define strategy, and drive innovation across projects. You will collaborate with business, engineering, and BI/AI teams to deliver impactful solutions.

Candidates should have 10+ years in data analytics and 7+ years in data-intensive product development, with an advanced degree in CS/Engineering/IS and strong agile leadership.