Senior Vice President

The Senior Vice President Solution Architecture is a senior technology leadership role within SGXs Data Engineering function responsible for defining and driving the architecture vision for SGXs enterprise data ecosystem. As a key member of the Data Engineering leadership team this role will shape the future-state data architecture that supports enterprise data products data platforms data services analytics and future business growth. The SVP serves as the architecture authority across Data Engineering partnering closely with business technology enterprise architecture infrastructure security and delivery teams to ensure solutions are scalable resilient secure and aligned with SGXs long-term strategic roadmap.

While the role has no direct people management responsibilities it carries significant influence across programmes teams and stakeholders driving architectural consistency technology direction engineering excellence and strategic technology decisions across the enterprise data landscape. The role is expected to play a critical part in the Technology transformation and help to ensure a well architecture data ecosystem for SGXs Data Roadmap and the evolution of a trusted connected enterprise data ecosystem.

SGX Ambition & Career Path:

At SGX this is not a purely advisory architecture role. The SVP Solutions Architecture will work on business-critical data initiatives where technology decisions must balance innovation resilience security regulatory expectations cost and speed of delivery. The role provides direct exposure to senior technology and business stakeholders with the opportunity to shape data platforms that underpin market operations customer channels data flows integration patterns and future-ready digital capabilities.

For an external hire seeking the next step beyond data product-level/ecosystem architecture SGX offers a platform to build enterprise influence lead through complexity and contribute to technology that matters at market level. This role can be a pathway into senior platform strategy or broader technology leadership.

Solution Architecture for Data Ecosystems

Define and evolve the target-state architecture for SGXs enterprise data ecosystem ensuring scalability and alignment with business strategy and long-term growth objectives.
Partner with Data Engineering leadership to shape and execute the data roadmap platform modernisation strategy and technology investment priorities.
Evaluate and guide key architectural trade-offs and ensure alignment with enterprise architecture standards and technology strategy.
Lead architecture decisions across data platforms data products data models integrations APIs governance and data access.
Establish architecture principles standards reference architectures and reusable design patterns that drive scalability resilience security and operational efficiency.
Provide architecture leadership across solution discovery design implementation governance and production readiness reviews.
Ensure solutions comply with enterprise architecture standards regulatory requirements and operational objectives while balancing business value risk cost and maintainability.
Identify technology opportunities that improve data accessibility interoperability self-service adoption and operational efficiency.
Develop transition strategies that modernise legacy platforms reduce technical debt and accelerate business value delivery.
Provide hands-on architecture leadership through discovery framework development design review implementation support issue resolution and transition into production ensuring architecture intent is delivered with quality and discipline.
Bring modern engineering and external market perspective into SGX applying relevant practices in cloud-native architecture data platforms API ecosystems cyber resilience automation observability and AI-enabled delivery where they create business value.

Technology Innovation & Data Ecosystem Expansion
Drive architecture strategies that enable enterprise data sharing interoperability self-service consumption and ecosystem growth.
Design scalable integration patterns for onboarding new business capabilities subsidiaries and external data sources.
Establish architectural foundations that support future data products data services and data monetisation opportunities.
Evaluate emerging technologies industry trends and architecture approaches recommending innovations that improve agility reliability scalability and cost efficiency.
Bring external industry and engineering perspectives to strengthen SGXs technology capabilities and future-state architecture.

Leadership & Stakeholder Management
Act as the principal architecture advisor to senior business and technology stakeholders.
Influence architecture outcomes across multiple teams and programmes without direct authority.
Partner closely with Enterprise Architecture Cloud Engineering Infrastructure Security Product and Engineering leaders to drive aligned outcomes.
Facilitate architecture reviews design workshops and strategic planning discussions.
Mentor engineers and technical leads fostering architectural excellence knowledge sharing and continuous improvement.

Knowledge & Experience:

• Experience: 10 years of experience in technology with strong experience in data platform architecture solution architecture or senior engineering leadership roles.
• Track record: Proven experience designing and delivering enterprise data platforms and data ecosystems. Strong track record influencing architecture decisions across multiple teams and programmes.
• Technical Expertise: Strong knowledge of (1) Enterprise data platforms and modern data architecture (2) Data products data models data services APIs and integration patterns (3) Cloud-native platforms and distributed systems (4) Event-driven and streaming architectures (5) Data governance metadata lineage and access management (6) Platform engineering DevSecOps observability resilience and security (7)Enterprise integration and hybrid architectures
• Communication & leadership: Strong architecture judgement with the ability to balance business outcomes technology strategy risk resilience cost and delivery speed. Excellent stakeholder management and influencing skills with the credibility to engage senior executives engineers architects security operations vendors and consultants. Ability to communicate complex technology concepts effectively to both technical and non-technical audiences.
• Education & certifications: Bachelors degree in Computer Science Engineering Information Systems or a related field; relevant certifications or postgraduate

Advantageous:

• Experience in financial services exchanges capital markets banking fintech or other regulated industries is highly desirable.

• Google Cloud Platform (GCP) and/or KDB/q