drjobs Lead Product Manager, Data Platform

Lead Product Manager, Data Platform

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1 Vacancy
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Job Location drjobs

Singapore - Singapore

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Get to Know the Team

The Technical Infrastructure team at Grab is a collective of product managers software engineers and program managers focused on enhancing the efficiency and effectiveness of Grabs Technology and Data platforms serving millions of users daily. These platforms encompass Experimentation Data Discovery and Catalog layers Metrics Engine Customer Data Platform Streaming Platforms and Machine Learning Platform. Our mission is to build and maintain a suite of tools and platforms that enable Grabbers to work smarter faster and more collaboratively.

 

Get to Know the Role

Were looking for a Lead Product Manager to join our Technical Infrastructure team specifically focusing on Data Platform. In this role youll collaborate with engineering data science analytics and product teams to pinpoint areas for improvement and develop impactful solutions. The ML Platform team empowers the underlying infrastructure that supports all ML applications in Grab including ML infra model building serving feature management and monitoring. Youll work with cross-functional leaders across the company to drive organization-wide changes.

You will report to the Head of Product Data Tech and AI.

 

The Critical Tasks You Will Perform

  • Define and execute the product strategy for the ML platform.

  • Collaborate with cross-functional teams to identify opportunities for improvement and develop tailored solutions.

  • Gather requirements conduct user research and prioritise the product backlog ensuring the team focuses on high-impact projects.

  • Establish strong relationships with internal stakeholders and deeply understand their needs and challenges.

  • Drive the adoption and onboarding of internal tools and ML platform ensuring user engagement and success.

  • Oversee product launches and go-to-market activities for internal tools and data platforms.

  • Communicate with both technical and non-technical stakeholders ensuring the teams work is well-understood and well-supported.

 

 


Qualifications :

What Essential Skills You Will Need

  • Product Management: 8 years of experience with at least 2 years in managing internal tools or data/AI platforms.

  • Systems and ML Development Practices: Strong understanding of modern Data Science model development practices and tools.

  • Analytical and Problem-Solving: Proficient in data-driven decision-making.

  • Stakeholder Communication: Ability to effectively communicate with both technical and non-technical stakeholders.

  • Technical Discussions: Comfortable engaging in high-level technical discussions and explaining AI topics to a non-technical audience.

  • User Research and Requirements Gathering: Skill in gathering requirements and conducting user research.

  • Project Execution: Experience in prioritizing backlogs to deliver high-impact projects.


Additional Information :

Life at Grab

We care about your well-being at Grab here are some of the global benefits we offer:

  • We have your back with Term Life Insurance and comprehensive Medical Insurance.

  • With GrabFlex create a benefits package that suits your needs and aspirations.

  • Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave

  • We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.

  • Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours
     

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer we consider all candidates fairly and equally regardless of nationality ethnicity religion age gender identity sexual orientation family commitments physical and mental impairments or disabilities and other attributes that make them unique.


Remote Work :

No


Employment Type :

Full-time

Employment Type

Full-time

Company Industry

About Company

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