We are seeking a passionate and dedicated Solution Architecture (Servicenow) to join our team.
Experience: We are looking for candidates with at least 8 years of experience in relevant fields.
Location: Singapore,
Work Mode: Work from Office
Key Responsibilities- Lead ServiceNow solution architecture, design, implementation, and optimisation across the enterprise.
- Conduct feasibility studies and define migration strategies from legacy platforms such as SharePoint and Nintex K2to ServiceNow.
- Provide architecture guidance fo renterprise integration, workflow automation, Performance Analytics, Predictive Intelligence, and AI capabilities.
- Lead Agile delivery teams as Scrum Master, facilitating Scrum ceremonies, managing impediments, supporting backlog prioritisation, and driving continuous improvement.
- Design and support ServiceNow AI capabilities including Now Assist, Agentic AI, AI Agent Studio, and Workflow Data Fabric.
- Evaluate integration opportunities with platforms such as Microsoft Copilot, Workday, SAP, Coupa, Ivalua, and Oracle.
- Review and optimise ServiceNow access controls, licensing, upgrades, configurations, and vendor solutions.
- Ensure solutions follow enterprise architecture, security, quality, and ServiceNow best practices.
Must Have- 8–10 years of Solution Architecture experience with at least3 years of ServiceNow experience.
- Strong ServiceNow architecture, configuration, customization, and integration experience.
- Experience with ServiceNow CSM preferred.
- Minimum3 years as Scrum Master / Agile Delivery Lead.
- Experience with ServiceNow Performance Analytics, Predictive Intelligence, and AI.
- Strong knowledge of enterprise integration, workflow automation, and legacy system migration.
- Experience in vendor management and solution validation.
- Strong stakeholder management and communication skills.
Good to Have- ServiceNow CSA / CIS certification.
- CSM / PSM / SAFe Scrum Master certification.
- TOGAF or equivalent architecture certification.
- Cloud and modern integration technology experience.
- Experience with AI/ML and enterprise AI solutions.
- Government or highly regulated environment experience.
- Experience with SAFe or LeSS.
