About the role

AI summarised

The Enterprise Applications Lead at Sembcorp oversees the end-to-end management, stability, and evolution of the company's enterprise application portfolio, including ERP and EPM systems. This senior role leads technical teams to deliver secure, scalable digital solutions while integrating emerging technologies like AI to align with business strategy.

UtilitiesOnsite

Key Responsibilities

Manage a portfolio covering Enterprise Resource Planning (ERP) system, Enterprise Performance Management (EPM) system and custom-developed applications
Act as the primary point of accountability for application availability, incidents, enhancements, and projects
Ensure applications meet business requirements, performance, security, and compliance standards
Partner with business users to understand needs and prioritise demand
Ensure seamless integration across systems and consistency of data flows
Lead solution assessments, considering cost, scalability, time-to-market, and long-term sustainability
Advocate the use of AI and collaborate with business to embed AI capabilities into solutions
Oversee vendor performance, licensing, renewals, SLAs, and cost optimisation

Requirements

At least 15 years of experience in application management, enterprise systems, or digital delivery
Proven experience in managing enterprise application systems and leading in-house development team
Technical experience with commercial off-the-shelf solutions and custom-developed applications
Experience working in a large, complex, or multi-country organisation preferred
Strong application lifecycle and delivery management skills
Solid understanding of best practices and industry standards for solution architecture, system integration, UI/UX, mobile app development, DevOps and application security
Technical familiarity with development platforms and tools such as .NET, Python, Azure App Service, Azure Logic Apps, Azure DevOps, GitHub etc
Ability to translate business needs into practical technology solutions
Proficiency in use of AI in solutioning and software development processes
Strong stakeholder management and communication skills
Pragmatic, and outcome-focused
Solid experience in operating between business and technology teams