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Manager, Data and AI, Consumer Credit Oversight Board Task Force (CCOBTF)
Manager, Data and AI, Consumer Credit Oversight Board Task Force (CCOBTF)Bank Negara Malaysia • Kuala Lumpur, Kuala Lumpur, Malaysia
Manager, Data and AI, Consumer Credit Oversight Board Task Force (CCOBTF)

Manager, Data and AI, Consumer Credit Oversight Board Task Force (CCOBTF)

Bank Negara Malaysia • Kuala Lumpur, Kuala Lumpur, Malaysia
7 hari lalu
Penerangan pekerjaan

Manager, Data and AI, Consumer Credit Oversight Board Task Force (CCOBTF)

Role Purpose

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.

Principal Accountabilities

  • Formulate and execute data strategy by developing enterprise‑wide data strategy aligned with CCOB’s objectives to ensure architecture scalability for 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.
  • Foster a data‑driven culture by promoting data literacy and responsible AI practices, to embed data‑centric decision‑making across the organisation.
  • Lead team and develop high‑performance teams through fostering collaboration and synergy across functions to achieve shared goals.
  • Drive AI adoption and scalability by building organisational capabilities in AI.

Qualification and Experience

Academic Qualifications :

  • Certifications in Data Engineering, AI / ML frameworks (TensorFlow, PyTorch), Cloud‑based AI, are preferred.
  • Experience :

  • Minimum of 8 years of experience in technology, data science or analytics, with proven expertise in managing data as well as some experience in AI initiatives.
  • 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.
  • Demonstrates strategic thinking, business and digital acumen, adaptability and advanced problem‑solving skills to lead data and AI initiatives.
  • Technical Skills : ETL / ELT pipelines, SQL / NoSQL, Apache Spark, Kafka, predictive modelling and GCP technology services.
  • ONLY SHORTLISTED CANDIDATES WILL BE NOTIFIED.

    Federal Territory of Kuala Lumpur, Malaysia

    #J-18808-Ljbffr

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