Enterprise Data & AI Platform Lead

HYPERSCAL SOLUTIONS PTE. LTD.

Singapore

On-site

SGD 180,000 - 240,000

Full time

3 days ago
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Job summary

MINDS in Singapore is seeking a Senior Manager, Data & AI to lead the enterprise data strategy and AI initiatives. You will translate priorities into a practical roadmap, build a governed data platform, and enable trusted data for operations, analytics and AI-enabled services.

Working with business units and external partners, you will ensure secure, reliable, interoperable solutions, oversee data models and pipelines, and drive responsible data practices, privacy and compliance with applicable

Responsibilities

  • Supports the development of MINDS' enterprise data and AI strategy and leads its implementation.
  • Translates strategic priorities into a practical roadmap and enables trusted data to support operations, enterprise applications, analytics and AI-enabled services.
  • Leads data and AI products from discovery and solution design through implementation, evaluation, production deployment and adoption.
  • Initial priorities may include the AI concierge and a shared enterprise data platform supporting staff productivity, organisational decision-making and better services for clients and caregivers.
  • Working with business units, Enterprise Applications, OpsTech and external partners, ensures solutions are secure, reliable, interoperable and sustainable.
  • Inspects data models, SQL, APIs, pipelines, configurations, logs and delivery evidence; guides internal teams; challenges vendors; ensures documentation, knowledge transfer, data portability, compliance and responsible-AI controls.

Job description

MINDS in Singapore is seeking a Senior Manager, Data & AI to lead the enterprise data strategy and AI initiatives. You will translate priorities into a practical roadmap, build a governed data platform, and enable trusted data for operations, analytics and AI-enabled services.

Working with business units and external partners, you will ensure secure, reliable, interoperable solutions, oversee data models and pipelines, and drive responsible data practices, privacy and compliance with applicable

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