全职 Principal, Data - AI 工作, 薪水, Suruhanjaya Kredit Pengguna Federal Territory 公司招聘中 - Ricebowl

Job Summary

Lead the development and execution of enterprise-wide data and AI strategy, governance, and operations, ensuring alignment with organisational objectives, while fostering a data-driven culture and building scalable AI capabilities across the organisation.

Job Description

• Formulate and execute an enterprise-wide data strategy aligned with SKP’s objectives to ensure scalable architecture that supports the organisation's future AI and analytics needs.
• Design future-ready data architecture and build scalable data warehouse integrating structured/unstructured data to ensure alignment with long-term business and AI requirements.
• Establish data governance framework through defining, advising and enforcing policies for data quality, security and compliance.
• Enable advanced analytics and AI by deploying predictive models and machine learning algorithms while maintaining analytics pipelines for real-time insights and support informed decision-making.
• Ensure strong data integrity and risk management by continuously monitoring data sources for accuracy and implementing proactive measures to prevent breaches and data loss.
• Strengthen data governance and security through maintaining operational data management, enforce data protection standards and apply pre-emptive risk management practices.
• Deliver actionable insights by providing intuitive dashboards and visual analytics, and translate these insights into clear, strategic recommendations for leadership.
• Drive AI adoption and scalability by building organisational capabilities in AI.
• Foster a data-driven culture by promoting data literacy and responsible AI practices, to embed datacentric decision-making across the organisation.
• Contribute to team performance and organisational effectiveness by fostering collaboration, knowledge sharing, and capability development, while supporting continuous learning and skills enhancement.

Job Requirements

• Minimum of 7 years of experience in technology, data science or analytics, with proven expertise in managing data as well as some experience in AI initiatives.
• Bachelor’s in quantitative science discipline (e.g. Computer Science, Statistics, Applied Mathematics).
• Certifications in Data Engineering, AI/ML frameworks (TensorFlow, PyTorch), Cloud-based AI, are preferred.
• Possess technical expertise and hands-on experience with Google Cloud Platform (GCP) technology stacks that includes BigQuery, Cloud Storage, Pub/Sub, Dataflow, Vertex AI, and Looker.
• Demonstrate strong knowledge of data architecture, data modelling, data analysis and visualisations techniques.
• Familiarity with AI and machine learning fundamentals as well as data governance and compliance frameworks.
• Demonstrate strategic thinking, business and digital acumen, adaptability and advanced problem-solving skills to lead data and AI initiatives.