HOYA HOLDINGS ASIA PACIFIC PTE LTD
Cloud Data & AI Platform Architect
Skills
18 days ago
Share this opportunity
Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.
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.
Other offers great for you!
These companies are also looking for great profiles
Washington Frank
GenAI Platform Architect
700€/jour
Freelance
Halle, Belgium
Hybrid
Skills
2 months ago
Quick apply
Inventiv IT
Data Cloud Architect (Snowflake, Azure, SQL)
700 Max
Freelance
Paris, France
Hybrid
Skills
22 minutes ago
Quick apply
Meetshake
Oracle Sovereign Cloud Architect
Freelance
London, UK
Hybrid
Skills
12 minutes ago
Quick apply