Executive Lead, Data, AI & Intelligence Strategy

HSBC Holdings plc; Singapore; Presencial; SGD 240.000 - 420.000; Jornada completa

Descripción de la vacante

HSBC Life (Singapore) Pte. Ltd. seeks an experienced SVP, Head of Data, AI & Intelligence to lead enterprise data, analytics and AI initiatives.

You will drive high-impact use cases across multiple functions, translate priorities into actionable plans, and ensure alignment with global data standards and governance. The role requires hands-on leadership for data foundations on the cloud, data modelling, testing and governance, with a focus on responsible AI and regulatory compliance.

Formación

• 15+ years’ experience in a financial services environment (or similarly regulated industry).
• Degree in Computer Science, Data Science, Statistics, Engineering, Business Analytics or related field (postgraduate qualification advantageous).
• Proven leadership delivering enterprise data, analytics and/or AI outcomes with hands-on ownership and measurable business impact.

Responsabilidades

• Identify, prioritise and deliver high-impact data/AI use cases across distribution, marketing, customer, operations and corporate functions.
• Translate commercial priorities into clear problem statements, delivery plans, success metrics, and adoption/change plans to ensure measurable value.
• Own and maintain the business data roadmap, aligned to enterprise data strategy and the Intelligence Hub and Data Foundation programme.

Conocimientos

Leadership in data/AI

GCP expertise

Data modelling

Data governance

Stakeholder management

Cloud data platforms

Educación

Computer Science / Data Science / Statistics / Engineering / Business Analytics

Descripción del empleo

HSBC Life (Singapore) Pte. Ltd. seeks an experienced SVP, Head of Data, AI & Intelligence to lead enterprise data, analytics and AI initiatives.

You will drive high-impact use cases across multiple functions, translate priorities into actionable plans, and ensure alignment with global data standards and governance. The role requires hands-on leadership for data foundations on the cloud, data modelling, testing and governance, with a focus on responsible AI and regulatory compliance.