Description:

ROLE OVERVIEW:

We are seeking a strategic, visionary, and execution-driven leader to join as Senior General Manager, Data & Artificial Intelligence (AI). This role will be responsible for defining and executing the enterprise-wide data and AI strategy, ensuring that data and AI are leveraged as core assets to drive business growth, innovation, and operational excellence.

The role will lead Data Enrichment, Data Engineering, Data Management, Data Operations, Data Governance business units and AI initiatives, ensuring the organization has a trusted, scalable, and intelligent data ecosystem. Beyond technical oversight, this role will play a transformational leadership role, identifying future data needs, defining the data acquisition strategy and embedding AI into our products, services, and internal operations, while also serving as a senior stakeholder with regulators, clients, and industry partners.

This is a pivotal leadership role as the credit bureau strengthens its position as the trusted data authority and embraces AI-driven innovation for the future of financial services.

KEY RESPONSIBILITIES:

- Define and execute the enterprise data and AI strategy, aligned with corporate priorities and business growth objectives.

- Act as a key advisor to the Corporate Leadership Team on opportunities to leverage data and AI for new products, revenue streams, and operational efficiencies.

- Drive a culture of responsible data use and AI adoption, balancing innovation with governance and ethical standards.

- Collaborate with Sales, Product and Data Analytics teams to obtain customer feedback and identify business needs in terms of new data sources to support development of new products and services.

- Develop and maintain comprehensive data enrichment roadmap and data acquisition strategies.

- Craft the proposition for data submission, identify, establish and maintain relationship and lead negotiations with critical data sources.

Enterprise Data Engineering & Architecture:

- Lead the design and build of a modern enterprise-wide data lake/warehouse covering data ingestion, data cleansing and data aggregation, serving as the backbone for advanced analytics and AI.

- Lead engagement with internal stakeholders, regulators, industry bodies, and ecosystem partners on data governance and responsible AI practices.

KEY REQUIREMENTS:

Qualifications:

- Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, AI/ML, or related disciplines

Work Experience:

- Minimum 15+ years of progressive leadership experience in data engineering, governance, or enterprise data leadership, with proven exposure to AI/ML projects.

- Demonstrated success in driving enterprise-scale data and AI transformation initiatives, ideally in financial services, fintech, or large-scale data organizations.

- Experience engaging with regulators, senior executives, and industry bodies on data and AI-related matters.

Knowledge, Skills & Competencies:

- Strong expertise in modern data platforms and AI/ML technologies (cloud-native, big data, model development, MLOps)

- Deep understanding of data governance frameworks, regulatory compliance, and responsible AI practices

- Proven ability to translate business needs into data & AI strategies that deliver measurable outcomes

- Proficient in English (Bahasa Malaysia a plus)