Senior Manager (Enterprise Data Architect) - Information Technology, CEO's Office and Central Services

Securities and Futures Commission (SFC); Hong Kong; Vor Ort; HKD 1.800.000 - 2.800.000; Vollzeit

Zusammenfassung

The Securities and Futures Commission (SFC) is seeking an experienced Enterprise Data Architect to shape its data foundation and establish architecture for trusted data governance, integration, sharing and use across the organisation.

The role translates the Data & AI strategy into a practical target architecture and roadmap spanning data platforms, information models, metadata, data quality and governance capabilities.

Qualifikationen

• 15+ years of senior technology leadership experience in financial services, market infrastructure, government, regulation, or other complex environments.
• Proven ability to lead enterprise-scale engineering, architecture, infrastructure, cloud, data, and AI teams.
• Deep expertise in modern engineering, cloud-native architecture, DevSecOps, SRE, observability, and secure delivery.
• Experience governing data platforms, AI, machine learning, and generative AI in production.
• Strong track record in modernization, service reliability, disaster recovery, supplier risk, cybersecurity, and privacy.
• Mission-led, pragmatic, and delivery-oriented with ability to simplify complex issues.
• Excellent senior stakeholder and collaboration skills across technology, policy, supervision, regulation, risk, and regulators.

Aufgaben

• Define and maintain the enterprise data architecture strategy, principles, standards and roadmap.
• Develop and govern the enterprise information model and target-state data landscape.
• Establish architecture patterns for structured, semi-structured and unstructured data.
• Set standards for data modelling, integration, metadata, quality and lifecycle management.
• Ensure architecture decisions support regulatory objectives and business needs.
• Lead architecture governance for Data & AI initiatives and provide architecture assurance.
• Collaborate with divisions, security and governance teams to ensure coherent end-to-end solutions.
• Guide engineers and delivery partners on architecture patterns and standards.
• Manage architecture risks, technical debt and lifecycle considerations.
• Maintain architecture documentation and communicate recommendations to governance forums.

Jobbeschreibung

The Securities and Futures Commission is seeking an experienced Enterprise Data Architect to shape its enterprise data foundation and establish the architecture through which trusted data can be governed, integrated, shared and used across the organisation.

The role will translate the SFC’s Data & AI strategy into a practical target architecture and roadmap spanning enterprise data platforms, information models, integration, metadata, data quality and governance capabilities.

This is a strategic and hands-on architecture role for someone with deep data expertise who can establish durable foundations for analytics, machine learning, generative AI and a more data-enabled regulator. Data architecture is the core requirement, while AI-enabling architecture experience would be a strong advantage.

Duties & Responsibilities:

Enterprise Data Strategy and Architecture

• Define and maintain the SFC’s enterprise data architecture strategy, principles, standards and roadmap.
• Develop and govern the enterprise information model, data domain architecture and target-state data landscape.
• Establish architecture patterns for structured, semi-structured and unstructured data.
• Set standards for data modelling, integration, metadata, quality and lifecycle management.
• Ensure architecture decisions support regulatory objectives, business needs, governance requirements and enterprise technology strategy.

Data Platforms and AI Enablement

• Lead architecture design and evolution of enterprise data platforms, analytical environments, metadata services and integration capabilities.
• Ensure the enterprise data architecture provides a robust foundation for analytics, machine learning, generative AI and future data-driven capabilities.
• Establish reusable patterns for data ingestion, transformation, APIs, data products and access.
• Design metadata, catalogue, lineage and data-quality capabilities that improve discoverability and trust.
• Evaluate emerging data and AI-enabling technologies based on business fit, security, resilience and cost effectiveness.
• Define architectural approaches for semantic models, reference data and governed knowledge sources that support analytics, search and AI-enabled use.

Architecture Governance and Delivery

• Lead data architecture governance and provide architecture assurance for Data & AI initiatives.
• Partner with business divisions, infrastructure, Information Security and governance teams to ensure coherent end-to-end solutions.
• Guide engineers and delivery partners on architecture patterns and standards.
• Manage architecture risks, technical debt and lifecycle considerations.
• Maintain architecture documentation and communicate recommendations to governance forums.
• Establish architecture expectations for DataOps, automated data testing, observability, reconciliation, recovery and cost-efficient operation of enterprise data services.
• Build internal Data Architecture capability and ensure knowledge transfer from vendors and delivery partners.

Requirements:

• 15+ years of senior technology leadership in financial services, market infrastructure, government, regulation, or other complex, mission-critical environments.
• Proven ability to lead enterprise-scale engineering, architecture, infrastructure, cloud, data, and AI teams.
• Deep expertise in modern engineering, cloud-native architecture, DevSecOps, SRE, observability, and secure delivery.
• Experience governing data platforms, AI, machine learning, and generative AI in production.
• Strong track record in modernization, service reliability, disaster recovery, supplier risk, cybersecurity, and privacy.
• Mission-led, pragmatic, and delivery-oriented, with sound judgment under pressure and the ability to simplify complex issues.
• Excellent senior stakeholder and collaboration skills, with credibility across technology, policy, supervision, enforcement, risk, finance, HR, regulators, industry bodies, and ecosystem partners.

All applications will be handled in strict confidence by authorised personnel and will only be used for recruitment related purposes. Applicants who do not hear from us within six months from the application deadline may consider their applications as unsuccessful. All information on unsuccessful candidates will be destroyed after six months.