Data Product Manager, Apac Region - Singapore - Mastercard

Mastercard

Verified Company

Singapore

2 weeks ago

Posted by:

Wei Jie

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Responsibilities

Plan and manage initiatives from inception through successful delivery to impact data and product performance for our APAC customers
Independently identify and research anomalous performance within the data portfolio and partner with the relevant engineering or data science team to develop solutions
Deeply understand the products that your data powers and address product issues by debugging data flows, troubleshooting with data providers, and communicating findings with marketfacing teams
Develop creative solutions to work with nontraditional data partners and data types by partnering with the product and engineering teams
Serve as a technical expert and share specialist knowledge to crossfunctional teams to advise business partners on APAC datarelated issues
Manage data sourcing strategy and roadmap to improve data performance while optimizing costs
Identify, collect, synthesize and communicate risks and blockers in a concise, accurate, and professional manner for senior leadership to ensure alignment based on evolving priorities

Requirements:

Experience working with data brokers and data vendors in Southeast Asia
Background in technical product management or adjacent engineering/datafocused role with decisive business outcomes
Ability to travel for business within Southeast Asia a few times a year
Clear written and oral communication across the corporate hierarchy
Experience working with complex data flows and architectures, demonstrating an ability to influence engineering roadmaps to improve products
Creativity in solving technical and business problems and a desire to explore diverse options to enable revenue growth
Track record of managing multiple parallel initiatives to drive the overall program strategy
Extensive experience developing and nurturing relationships, serving as the main point of contact for internal and external stakeholders
Ability to incorporate feedback from crossfunctional stakeholders in Legal, Data Privacy, Finance, Product, and Sales to identify the right data partners and prioritize the most impactful projects
Demonstrated success building relationships and delivering results with global, multicultural, and remote project teams