Super Star Cosmetics Pte. Ltd.
Website:
su-star.com
Job details:
Company Description Super Star Cosmetics Pte. Ltd. is a distribution and trading company with strong distribution capabilities across the Asia-Pacific region. The organization focuses on delivering cosmetic and beauty products efficiently to diverse markets, partnering with brands to expand their regional presence. Joining the team offers exposure to cross-border operations, dynamic market conditions, and evolving customer expectations. The company values reliability, agility, and long-term partnerships, creating opportunities for team members to contribute to sustainable business growth.
Role Description The AI Adoption Lead is a full-time, on-site role based in Ho Chi Minh City, Vietnam. This role is responsible for identifying, evaluating, and implementing AI solutions that enhance distribution, trading, and operational efficiency across the company’s Asia-Pacific activities. Day-to-day tasks include assessing business processes for AI integration, collaborating with functional teams to define requirements, and working with technology partners to deploy suitable AI tools. The AI Adoption Lead will manage pilot projects, monitor performance metrics, and refine solutions to improve decision-making, forecasting, inventory management, and customer engagement. This role also involves training team members on new AI-driven workflows, promoting responsible and ethical AI use, and documenting best practices and implementation guidelines.
Qualifications
- Strong skills in AI solution evaluation and implementation, including experience with practical use cases in operations, logistics, or sales.
- Proficiency in data analysis and interpretation to support AI-driven decision-making, with the ability to translate business needs into technical requirements.
- Experience in project management and change management, including leading cross-functional initiatives and driving adoption of new tools.
- Effective communication and stakeholder management skills, with the ability to facilitate training and clearly explain AI concepts to non-technical audiences.
- Bachelor’s degree in Business, Engineering, Computer Science, Data Science, or a related field; advanced qualifications are an advantage.
- Prior experience in distribution, trading, FMCG, or cosmetics sectors is beneficial, especially in regional or multi-market environments.
- Demonstrated ability to work on-site in a fast-paced setting, handle multiple priorities, and deliver results within agreed timelines.
- Awareness of ethical, privacy, and compliance considerations related to AI use in commercial operations.
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