REQ13554 Manager, AI & Data Science (Open Date: 05/11/2025)
POSITION SUMMARY:
This role involves delivering advanced AI solutions using state-of-the-art architectures such as LLMs, GANs, reinforcement learning, and deep learning. The Manager combines hands-on technical expertise with leadership responsibilities, ensuring AI models are designed, deployed, and maintained in line with business strategy. This role partners with IT and business stakeholders to align solutions with organizational needs, generate predictive and prescriptive insights for business-critical decision-making.
PRIMARY RESPONSIBILITIES:
- Supervise design, training, and deployment of advanced AI models including transformers, LLMs, GANs, and reinforcement learning systems.
- Guide adoption of MLOps practices to standardize model lifecycle management.
- Integrate AI solutions into business processes in collaboration with IT and business leaders.
- Establish predictive and prescriptive analytics pipelines that connect modeling outputs with strategic decision frameworks.
- Ensure compliance with development, governance, and intellectual property standards.
- Evaluate emerging AI research for applicability within company frameworks.
- Provide mentorship and technical guidance to senior and junior scientists.
- Combines deep expertise in modern AI architectures with leadership of end-to-end pipelines that generate predictive and prescriptive insights for business-critical decision-making.
- Ability to communicate complex analytic concepts and results to non-technical audiences, including executive leadership, facilitate data-driven decision making.
- Stay tuned in market trends and emerging technologies to proactively identify revenue growth opportunities and operational improvements
- Manage a diverse team of data scientists and AI professionals
KEY PERFORMANCE INDICATORS:
1. Successful deployment and adoption of advanced analytics, AI/ML applications and LLM-powered solutions across business units
2. Quality and Enterprise adoption of AI/ML models across business units.
3. Adoption of predictive and prescriptive models in decision-making workflows
4. Influence of insights on strategic business decision-making.
5. Team capacity-building and leadership effectiveness.
6. Good interpersonal skills, insightful communication and collaboration with stakeholders
7. Adherence to data privacy, compliance, and ethical standards in data science and AI.
8. Ability to manage projects and complete tasks in a timely and effective manner.
9. Timely completion of delegated tasks with accuracy
10. Develops and maintains constructive relationships with internal and external customers
QUALIFICATIONS:
Experience
- Currently worked at a company or institution heavily involved in data science or AI projects
- Experience in data science, machine learning, or AI/ML development
- Proven track record of delivering advanced analytics and AI solutions that drive measurable business outcomes
- Experience leading cross-functional teams, managing complex data initiatives, and aligning technical efforts with strategic business goals
- Exposure to collaborative environments involving external partners, clients, or interdisciplinary teams
- Preferred: Familiarity with hospitality or customer-centric industries
Education
- Candidates must hold a degree in Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline
- Preference is given to candidates with a post graduate degree from a major, accredited institution
Skills / Competencies
- Advanced knowledge of transformers, LLM orchestration, reinforcement learning, and generative modeling.
- Expertise in programming and technical skills on data science and AI technologies, such as machine learning, deep learning, NLP, LLM and predictive modeling.
- Expertise in distributed training and large-scale experimentation.
- Strong background in time-series, forecasting, and optimization models.
- Familiarity with enterprise data ecosystems and large-scale pipelines.
- Strong knowledge of scalable MLOps, model deployment and and lifecycle management
- Familiarity with simulation modeling, causal inference, and decision intelligence.
- Proven ability to deliver AI projects with strategic business impact.
- Strong problem-solving abilities and advanced proficiency in data analysis and interpretation.
- Fluency in English, Cantonese, and Mandarin.
- Skilled in project management and stakeholder engagement
- Good communication and collaboration skills across technical and business domains.
- Excellent leadership and team management skills.
- Ability to adapt to a fast-paced, multicultural dynamic environment.