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Head, Data Solutions & AI

SpringCube

Full time - Director

Banking & Financial Services

Singapore ( Onsite )

Published 3 weeks ago

Salary: SGD10,000 - SGD15,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A digital bank based in Singapore, backed by a consortium of Grab Holdings Inc. and Singtel, aims to offer improved banking services to everyday consumers and small businesses through technology.

Job Title: Head, Data Solutions & AI

Key Responsibilities:

This role will involve developing and executing the AI and data science roadmap and strategy aligned with the organization’s overall vision and business goals, while articulating the organization-wide value proposition of AI. This individual will define and execute the organization’s data analytics strategy to drive business growth and customer experience. A key aspect will be to lead experimentation with alternative data sources to improve credit scoring and financial inclusions. The role also involves developing predictive models and AI-driven insights to enhance customer engagement, risk management, and revenue optimization. This leader will partner with business leaders across banking, risk, product, and operations to translate data into commercial impact. Staying ahead of industry trends in open banking, embedded finance, and fintech innovation will be crucial. Furthermore, this position is responsible for leading the design and implementation of dashboards and reports to provide real-time, actionable insights.

Qualifications:

The ideal candidate will possess proven experience in data analytics, data science, or business intelligence, with at least 8 years in leadership roles. They must demonstrate excellence in managing senior stakeholders and possess the ability to communicate complex data insights to non-technical audiences. Strong leadership in building and scaling cross-functional data teams is essential, as is the ability to align data strategies with business goals and risk/regulatory compliance. A strong knowledge of cloud-based data platforms, big data technologies, and AI/ML frameworks is required, along with a deep understanding of customer segmentation, risk modeling, and fraud analytics. Experience with real-time data processing, APIs, and automation is necessary, and a track record in building capabilities in Artificial Intelligence, Machine Learning, and Real-Time Analytics to personalize banking solutions is highly valued.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.