Own the Business Intelligence and reporting ecosystem — define standards for dashboards, metrics, and KPI definitions so the business works from a single source of truth.
Establish and govern a consistent metrics layer (semantic definitions, naming, calculation logic) to prevent conflicting numbers across teams.
Oversee development and maintenance of executive, operational, and self-service dashboards.
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Lead the conceptualization and solution design for Machine Learning and Generative AI applications, specifically utilizing Google Cloud’s Vertex AI and Gemini ecosystems.
Direct the rapid prototyping of Proof of Concepts (POCs) to validate technical feasibility and business ROI before committing to enterprise-scale development.
Partner closely with Product Managers to align solution architecture with the product roadmap, define feature specifications, and ensure the end-product meets the original business case.
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Oversee the deployment of codes into production environments and safeguard the integrity of production databases, ensuring adherence to established protocols. This includes monitoring data accuracy, validating changes, and enforcing best practices for secure deployments.
Provide first-level technical support to end-users, serving as the primary point of contact for application-related issues.
Participate in code reviews, debugging, performance tuning and other technical discussions, contributing to ongoing and upcoming projects and enhancements.
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Responsible for the delivery and SLAs by guiding incident resolution, problem management, maintenance, and enhancement tickets raised by the end users for data solutions.
Engage with internal technology team to facilitate access to relevant data sources and ensure data quality and governance.
Technically lead the way in reviewing and adopting new, emerging and existing tech, leveraging benefits to improve availability, operations and support objectives.
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Oversee the deployment of codes into production environments and safeguard the integrity of production databases, ensuring adherence to established protocols. This includes monitoring data accuracy, validating changes, and enforcing best practices for secure deployments.
Provide first-level technical support to end-users, serving as the primary point of contact for application-related issues.
Participate in code reviews, debugging, performance tuning and other technical discussions, contributing to ongoing and upcoming projects and enhancements.
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Conduct fare structure reviews, fare elasticity analysis and financial evaluations for fare products. Execute strategic initiatives/projects, ensuring timely completion and consistent alignment with the objectives.
Provide economic, ridership, statistics and operational insights or data/ input to support government agenda (e.g. NACCOL, My50, Buku Statistik Pengangkutan, Sesi Pemukiman Daya Saing Negara).
Perform other related duties as assigned to support organisational mission and objectives.
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You will collaborate with stakeholders to align on key product metrics and propose experimentation strategies, including A/B testing.
You will design and manage data specifications for new products, ensuring accurate data collection in collaboration with engineering teams.
You will mentor junior team members, promote high standards in data handling, and develop scalable frameworks to address recurring problems efficiently.
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