Overseas Data Business Manager

Shenzhen Hexun Huagu Information Technology Co/ 深圳市和讯华谷信息技术有限公司; Kuala Lumpur; On-site; MYR 244,000 - 326,000; Full time

Job summary

A tech-driven data solutions company seeks a Data Product Manager in Kuala Lumpur, Malaysia. The role focuses on expanding overseas data product partnerships, conducting data resource research, and implementing localized solutions. Ideal candidates are bilingual in Chinese and English, with a strong ability to manage cross-cultural teams. Experience in the financial ecosystem of Indonesia or Mexico is preferable. This position requires excellent communication and negotiation skills, and offers opportunities for long-term overseas travel.

Qualifications

• Ability to assist in sourcing data resources.
• Experience in data resource expansion preferred.
• Understanding of data product principles.

Responsibilities

• Lead expansion of overseas data product partnerships.
• Conduct data resource research and build localized resource maps.
• Drive the implementation of localized data products.
• Identify client pain points and provide customized solutions.
• Analyze financial regulations and establish partnership networks.

Skills

Client relationship management

Data source research

Project coordination

Cross-cultural collaboration

Communication skills

Negotiation skills

Job description

Responsibilities

• Business Development & Sales: Spearhead the expansion of overseas data product partnerships; maintain client relationships and provide tailored solutions; participate in negotiations and formulate regional strategies to achieve sales and client coverage targets.
• Data Resource Prospecting & Integration: Lead data source research in Indonesia and Mexico; build localized resource maps; evaluate data quality and compliance; design integration schemes and drive implementation; identify the commercial value of emerging data to create differentiated product proposals.
• Regional Product Localization: Drive the implementation of data products based on regional characteristics; provide full-lifecycle support; collaborate with technical teams to ensure API stability; monitor product performance and optimize to enhance client satisfaction and renewal rates.
• CRM & Project Delivery: Identify pain points for FinTech clients in Indonesia and Mexico; output customized solutions; manage cross-cultural teams and coordinate resources to ensure project delivery; author compliant documentation in English.
• Market Insight & Ecosystem Building: Analyze financial regulations and data compliance requirements in target regions; establish localized partnership networks; produce market analysis reports to provide a basis for product iteration.

Core Competencies

Prior experience as a Data Product Manager is not mandatory, but the ability to assist in sourcing data resources is required.

Preference will be given to candidates with data resource expansion experience in Indonesia or Mexico and familiarity with the local financial ecosystem and compliance environment.

Ability to adapt to long-term overseas business travel.

Professional Skills

Understanding of data product principles with experience in data product usage or business alignment.

Capable of independently conducting requirement analysis, solution design, and client demonstrations.

Familiarity with data privacy regulations in Southeast Asia and Latin America.

General Qualifications & Languages

Bilingual Proficiency

Professional working fluency in both Chinese and English is required. Must be able to conduct independent business negotiations and bridge communication between headquarters and international markets.

Multilingual Plus

Proficiency in Indonesian or Spanish is a significant advantage.

Strong project coordination skills with the ability to manage multiple projects concurrently under pressure.

Experience in overseas team management or multinational projects; excellent cross-cultural collaboration skills.

Outstanding communication and negotiation skills; candidates with existing overseas client resources are preferred.