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Cloud Data & AI Platform Architect

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Onsite

Cloud Data & AI Platform Architect

HOYA HOLDINGS ASIA PACIFIC PTE LTD

Cloud Data & AI Platform Architect

Skills

Data AnalysisAIGDPRComplianceAzure

18 days ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

10 October 2026

What they need


The Cloud Data & AI Platform Architect plays a pivotal role in defining and driving the architecture, governance, adoption, and evolution of enterprise Data & AI platform capabilities. This individual is responsible for establishing platform standards, architecture principles, service offerings, and onboarding frameworks that enable Business Divisions to leverage shared Data, Analytics, and AI capabilities securely, efficiently, and consistently — while flexing support based on each division's maturity.

This role is central to scaling Cloud & Compute's platform footprint from Cloud Foundation to Data& AI over the next years, directly enabling the cloud roadmap's Data and AI Platform build-out. It ensures divisions — regardless of capability level — can adopt Fabric, Foundry, and broader Azure Data & AI services in a governed, consistent way.

Internal Relationships:
Business Division IT teams

Product Owners and Service Owners

Solution Architects

Enterprise Architecture

Security, IAM, Risk & Compliance teams

Data and AI teams

External Relationships:
Microsoft and strategic technology partners

Data and AI platform vendors

Managed Service Providers

Technology consultants and implementation partners

Major Responsibilities:
Platform Strategy & Roadmap:
Define and maintain the Cloud Data & AI Platform vision, strategy, and roadmap.

Establish platform services covering Data, Analytics, AI, and automation capabilities.

Define service offerings and platform consumption models.

Assess emerging technologies and recommend platform enhancements.

Define the enterprise AI Gateway architecture and its capabilities.

Define MLOps and LLMOps standards.

Establish model lifecycle management processes.

Define monitoring, retraining, drift detection, and model governance approaches.

Support deployment patterns for predictive AI, GenAI, copilots, agents, and AI services.

Platform Architecture & Governance:
Develop architecture principles, standards, and reference architectures.

Define reusable patterns for analytics, data products, AI solutions, agents, copilots, and business automation.

Establish platform governance, architecture review, and onboarding processes.

Ensure alignment with enterprise architecture, security, and compliance requirements.

Define security baselines for Data and AI services.

Establish data protection, encryption, key management, and secret management standards.

Define data residency and sovereignty controls.

Define enterprise data governance standards, policies, and classification requirements in partnership with the Data Governance team.

Establish requirements for data catalog, lineage, metadata, quality, and retention.

Review Purview integration design for compliance with governance standards.

Business Divisions Engagement& Platform Adoption:
Engage Business Divisions to understand Data & AI requirements and priorities.

Lead discovery workshops and use-case assessments.

Act as the primary subject matter expert and single point of contact for platform capabilities.

Promote adoption of platform services and capabilities.

Divisional Enablement Strategy:
Assess Business Division data & AI maturity and capability levels.

Define a tiered engagement model — self-service for capable divisions, hands-on architecture support for divisions with limited capability.

Design solution blueprints and accelerators to reduce implementation effort for low-maturity divisions.

Define clear exit criteria for transitioning platform-supported use cases back to division ownership.

Financial Management & FinOps:
Define platform cost governance, chargeback/showback approaches, and consumption policies.

Review consumption trends and recommend optimization opportunities.

Support investment planning and capacity forecasting.

Stakeholder Management:
Communicate platform strategy, roadmaps, and investment priorities.

Facilitate alignment between business and technology teams.

HOYA Group: Founded in 1941 in Tokyo, Japan, HOYA Corporation is a global technology and med-tech company and a leading supplier of innovative high-tech and medical products. HOYA’s divisions and business units research and develop products utilized in the healthcare and information technology fields. In the healthcare field, we provide medical device products such as eyeglasses, medical endoscopes, contact and intraocular lenses, orthopedic implants, surgical/therapeutic devices and medical device reprocessing and disinfection solutions. In the information technology field, we provide products such as optical lenses, photomasks and blanks used in the manufacturing process for semiconductor and LCD/OLED devices, text-to-speech, human resources and other software solutions and critical components for the mass memory and cloud storage industries. With over 150 offices and subsidiaries worldwide, HOYA currently employs a multinational workforce of 37,000 people.

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