VP, Data Products & AI Innovation

United Overseas Bank Limited (UOB)

Singapore

On-site

SGD 260,000 - 380,000

Full time

11 days ago
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Job summary

United Overseas Bank Ltd seeks a VP, Data Products & Innovation to lead enterprise Data Products and Data-as-a-Service initiatives. You will transform priority data assets into trusted, governed, reusable data products enabling analytics, AI, reporting and value creation across the bank.

You will collaborate with business units, data engineering, governance, risk and technology to translate needs into scalable data product use cases, ensuring controls, documentation and adoption measures are in

Qualifications

  • 8+ years of experience in enterprise data applications and analytics enablement.
  • Proven track record leading enterprise-scale data initiatives in banking or regulated environments.
  • Experience building or scaling data products and self-service data platforms.
  • Ability to partner with senior stakeholders to shape demand and drive outcomes.
  • Strong knowledge of data governance, metadata, lineage, data quality and data risk management.
  • Experience leading cross-functional teams across business, data, technology, governance and risk.

Responsibilities

  • Develop and execute enterprise Data Products and Data-as-a-Service strategies.
  • Define operating model for data products including ownership and lifecycle.
  • Identify data product use cases with clear business objectives and adoption plans.
  • Promote reusable, governed data products as alternatives to one-off delivery.
  • Coordinate data services, guidance and training for adoption.

Skills

Data products
Executive communication
Stakeholder engagement
Data governance
Data quality
Leadership
Cross-functional leadership
Banking domain awareness
AI/GenAI context
Product thinking

Job description

United Overseas Bank Ltd seeks a VP, Data Products & Innovation to lead enterprise Data Products and Data-as-a-Service initiatives. You will transform priority data assets into trusted, governed, reusable data products enabling analytics, AI, reporting and value creation across the bank.

You will collaborate with business units, data engineering, governance, risk and technology to translate needs into scalable data product use cases, ensuring controls, documentation and adoption measures are in

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