Total 6 Director/C-Level Information Technology job vacancies in PASIR GUDANG

Design Director – iGaming PlatformKey Responsibilities：

Overall Visual Direction：Lead the overall visual style, UI/UX design standards, and brand identity for the iGaming website and mobile platform

Team Leadership：Manage and mentor UI, UX, and visual design teams, ensuring design quality, resource allocation, and team capability development

Product Experience Optimization：Collaborate closely with Product Managers and Engineering teams to ensure design feasibility and continuous user experience improvement

Creative Strategy：Define the overall creative direction of the platform based on market trends and user preferences to drive retention and conversion

Design System Development：Build and maintain a scalable design system to ensure consistency across multiple product lines

Vendor Management：Manage external design vendors and ensure output quality meets company standards

Data-Driven Design：Iterate design solutions based on user behavior data and A/B testing results to improve key business metrics

Requirements：

Experience：8+ years of digital product design experience, including at least 3 years in design team management

Industry Background：Experience in iGaming, FinTech, or internet platform products is preferred

Technical Skills：

Proficient in Figma, Sketch, Adobe Creative Suite, and other design tools

Deep understanding of mobile and web design guidelines (iOS, Android, responsive design)

Experience in building design systems

Education：Bachelor‘s degree or above in Design, HCI, Visual Communication, or a related field

Language：Fluent in both English and Chinese (Mandarin) -liaise with Chinese clients from China.

Soft Skills：Strong cross-functional communication, stress management, and project management skills

About the Role

The incumbent is responsible for shaping AIA Singapore’s engineering strategy, building scalable and secure application platforms, and driving best-in-class engineering practices across multiple development teams.

This role manages multiple engineering teams delivering enterprise applications built using modern platform using Java, Python, SQL/Postgres/MS SQL, Kubernetes, deployed as microservices on Azure Cloud. The ideal candidate should bring deep hands-on engineering expertise, strong architectural thinking, and the ability to lead and grow technical teams.

The incumbent will partner closely with Technology, Product, AIA Group teams, and business stakeholders to deliver digital solutions that accelerate AIA’s transformation journey.

WHAT YOU'LL BE DOING

Strategic Leadership

• Define and drive the engineering roadmap aligned with AIA Singapore’s digital and data strategy.

• Design scalable, secure, high-performance application architectures leveraging cloud-native engineering on Azure.

• Establish engineering governance, coding standards, DevOps practices, and quality controls to ensure security, availability, and operational excellence.

• Stay current with emerging technologies and proactively introduce modern engineering capabilities (microservices, containerization, APIs, DevSecOps, data engineering practices, etc.).

Delivery Ownership

• Oversee delivery of complex, mission-critical applications across 5 engineering teams.

• Collaborate with AIA Group, Technology teams, and Product Managers to define, plan, and execute the technology roadmap.

• Ensure teams deliver high-quality, scalable and maintainable solutions within agreed timelines.

• Remove blockers, optimize engineering processes, and drive continuous improvement in speed, stability, and reliability.

Stakeholder Collaboration

• Serve as primary point of contact for business units, translating outcomes to measurable deliverables (SLAs, KPIs, timelines).

• Drive prioritization and backlog management across multiple squads, balancing regulatory deadlines, business demand, and technical debt.

• Champion data product thinking—clearly defined ownership, contracts, SLAs, versioning, and standardized documentation (API specs, data dictionaries).

Governance Risk and Compliance

• Ensure compliance with applicable regulatory frameworks (e.g., MAS TRM, cyber hygiene, records retention), audit readiness, and evidence collection.

• Own access management and API policy governance (rate limits, quotas, consumer onboarding, keys, secrets).

Operational Excellence

• Define and monitor SLAs for system availability, performance, and reliability.

• Implement automation and monitoring solutions to ensure efficient operation and minimal downtime.

• Oversee capacity planning, mange budget, forecasting costs, optimizing platform usage and infra resources and cost optimization of infrastructure.

People leadership

• Build and lead a high‑performing team (platform engineers, leads, API developers).

• Foster a culture of customer focus, accountability, and continuous improvement; mentor managers and senior ICs.

• Develop talent pipelines, succession plans, and partner strategies (vendors, SIs, managed services).

WHAT YOU SHOULD HAVE

• Degree from a recognized University in Information Technology, Computer Science, Computer Engineering or equivalent.

• 12+ years of total experience in which 10+ years of hands-on software development experience with strong proficiency in Java, Python, Microservices architecture, SQL & relational database design, Kubernetes & containerization, Cloud-native development and 8+ years of engineering leadership experience managing multiple technical teams or large-scale engineering organizations.

• Proven experience in designing and delivering enterprise-grade systems with high scalability, performance, and availability.

• Strong architectural mindset with the ability to guide technical direction and make informed engineering decisions.

• Ability to influence cross-functional stakeholders across business, technology, and group teams.

• Experience in coaching and developing engineering managers and senior engineers.

• Insurance/financial services experience is a plus but not mandatory.

• Highly technical and hands-on when necessary; able to engage deeply with engineers on architecture, design, and code-level challenges.

• Strong leadership presence with the ability to motivate and inspire high-performing teams.

• Growth mindset and willingness to continuously learn and adopt new technologies.

• Excellent communication, collaboration, and problem-solving skills.

• Passionate about building sustainable engineering culture, not just managing projects.

About Alphatok Alphatok is a Singapore-based B2B AI technology company focused on delivering practical, enterprise-grade AI solutions. We help enterprises and government organizations adopt AI through: AI-driven business systems (CRM, ERP, intelligent workflow platforms) AI Agents, RAG, and private LLM deployments Custom enterprise software development and long-term technical support

Job Summary

You will lead the full sales cycle to drive commercial growth for Alphatok’s B2B AI business. This role involves shaping go-to-market strategies, managing complex enterprise sales, and delivering AI-driven transformation solutions to diverse clients.

Responsibilities

Business Development & Sales

• Identify, develop, and close B2B sales opportunities with enterprises, government bodies, and mid-to-large organizations to drive revenue growth
• Sell AI software solutions, customized systems, and long-term service contracts by aligning offerings with client needs
• Translate customer business challenges into tailored, commercial AI solutions that address strategic objectives

Client & Solution Engagement

• Collaborate with technical teams to design and present AI-driven solutions that meet client requirements
• Lead client meetings, deliver solution presentations, prepare proposals, and negotiate contracts to secure deals
• Build and maintain long-term client relationships to drive contract renewals, upselling, and cross-selling opportunities

Sales Strategy & Team Building

• Contribute to the development of sales strategies, pricing models, and sales process improvements to enhance effectiveness
• Support the design and optimization of CRM and sales management workflows to improve sales operations
• Mentor junior sales or pre-sales team members, fostering their professional growth and enhancing team capabilities

Required competencies and certifications

• 3+ years of B2B sales experience in software, IT services, SaaS, or digital transformation
• Proven ability to manage enterprise-level deals with long sales cycles independently
• Strong capability to sell complex, solution-based offerings
• Demonstrated interest in AI, software, and emerging technologies

Preferred competencies and qualifications

• Background in AI, SaaS, system integration, or consulting firms
• Experience in the Singapore or Southeast Asia market
• Exposure to government, large enterprise, or regulated-industry clients
• Strong English communication skills

The incumbent will be managing team members in SG/Cyber Technology Centre (Malaysia)/Batam Technology Centre (Indonesia) and responsible for defining and overseeing the organization’s application security architecture, ensuring alignment with target architectures and modern development practices.

WHAT YOU’LL BE DOING:

1. Strategic Oversight of Security Architecture

• Define, design, and implement the target application security architecture in line with organizational goals and industry/regulatory standards.
• Establish a comprehensive application security strategy, ensuring seamless integration into enterprise architecture and technology roadmaps.
• Conduct architectural reviews to identify risks and recommend mitigation strategies, focusing on secure and scalable solutions.

2. CI/CD Pipeline Security

• Lead the integration of security controls into CI/CD pipelines, ensuring automated detection and remediation of vulnerabilities.

3. Secure Software Development Lifecycle (SDLC)

• Develop and enforce secure development guidelines, ensuring security is incorporated at every stage of the SDLC.
• Provide leadership in threat modelling, secure coding practices, and software code quality management across development teams.
• Work with application teams to prioritize security requirements, balancing business objectives with technical risks.

4. Vulnerability Management and Mitigation

• Oversee the overall strategy for SAST, DAST, to identifying and remediating vulnerabilities.
• Ensure timely resolution of identified issues, coordinating efforts across development, QA, and DevOps teams.
• Maintain and communicate detailed metrics and dashboards on the security posture of applications and pipelines.

5. Cross-Functional Collaboration

• Partner with application teams to align security architecture with business needs and project timelines.
• Act as the primary liaison between technical teams and executive leadership, effectively conveying security risks and architectural priorities.

WE ARE LOOKING FOR SOMEONE WITH | YOU WILL HAVE:

• Bachelor’s degree of computer science, Information Security, or a related field. A Master’s degree would be an added advantage.
• Information Systems Security professional certifications, such as CISSP, CSSLP, CEH, OSCP or CREST.
• At least 15 years of experience in cybersecurity, with a focus on application security, security architecture, and secure development practices.
• Proven expertise in designing and implementing security controls within CI/CD pipelines in Agile and DevOps environments.
• Demonstrated success in defining and overseeing secure application architectures for cloud-native and hybrid environments.
• Deep understanding of secure software development lifecycle (SDLC) methodologies and best practices.
• A team-player with systematic problem-solving approach, and have sense of ownership and drive.
• Must have strong people skill to lead a team effectively and demonstrable experience of working at the most senior levels of large and complex organizations.
• Excellent interpersonal skills and stakeholders management.
• Always have customer in mind when dealing with any situations/projects/deliverables.
• Interprets customer needs, assesses requirements and identifies solutions to non-standard requests.
• Able to negotiate with, influence and engage others in complex and conflicting situations across multiple parties to drive a positive outcome.
• Good communication skills and the communication network of the incumbent is expected to be internally within the enterprise (80%) and external with Vendors and Service Providers (20%).

Position Overview

The Chief Technology Officer (CTO) is a key executive role, reporting directly to the CEO. The CTO oversees Codex's entire technology landscape across software engineering, platforms, infrastructure, data, and AI innovation, supporting both internal capabilities and the delivery of secure, scalable, mission-critical solutions to our clients. The CTO oversees all technical aspects of the company, collaborates with other executives, and ensures the company stays at the forefront of modern engineering and applied AI.

Key Responsibilities

1. Technology Strategy and Leadership

• Define and execute the company's technology vision, across software, data, infrastructure, and AI.
• Identify emerging technologies and trends, including AI, cloud platforms, and cybersecurity; and evaluate their relevance to Codex and Home Team agencies.
• Collaborate with the CPO, COO, and stakeholders to align product, data, and AI strategies with organisational and mission objectives.
• Develop and monitor yearly plans and budgets for the Technology Office, including platform engineering, R&D, and AI initiatives.

2. Software Development and Delivery

• Lead modern software development practices and champion strong engineering culture (cloud-native development, DevSecOps, secure enclaves, automation).
• Oversee system and solution architecture, ensuring high standards for performance, security, resilience, and maintainability.
• Establish robust quality assurance and testing frameworks.
• Ensure compliance with industry standards, data security regulations and AI governance requirements.
• Drive delivery of AI-enabled solutions; including Generative AI (LLMs, multimodal RAG, agents), analytics platforms, and intelligent systems while ensuring operational fit and compliance with government standards.

3. Innovation and R&D

• Lead R&D across software, cloud, data, and AI technologies (e.g. multimodal, Agentic AI) to develop high-impact capabilities for Home Team departments.
• Foster a culture of innovation.
• Build partnerships with technology providers and academic institutions.

4. Technical & AI Team Leadership

• Build, lead, and mentor a high-performing technical team across software engineering, platform engineering, AI/ML engineering, and data engineering.
• Develop a strong technical talent pipeline.
• Establish and grow internal AI product and delivery teams capable of supporting client deployments, integrations, and operations.
• Promote a collaborative, inclusive and growth-oriented engineering culture.

5. Collaboration and Stakeholder Engagement

• Work closely with the COO to plan, design, and deliver AI and automation initiatives that streamline corporate processes and improve operational performance.
• Partner with the CPO to translate and operational requirements into scalable architectures and technical deliverables.
• Engage with end users, partners, and stakeholders to identify technology and AI opportunities and provide technical guidance.

6. Risk Management and Security

• Identify and mitigate technical and AI-related risks.
• Implement best practices for cybersecurity, secure development, and responsible AI principles.
• Establish protocols for disaster recovery, incident management and continuous monitoring of both software systems and AI models.

Requirements

Qualities We Value

• Extensive experience in technology leadership roles, preferably with deep expertise in software architecture, systems design, and modern engineering practices and the Singapore government domain.
• Strong expertise in software architecture, modern development methodologies, and IT infrastructure design (cloud and on-premise).
• Proven track record of driving innovation and delivering scalable enterprise-grade platforms, cloud/hybrid infrastructure, and mission-critical systems.
• Strong background in platform engineering, infrastructure design, DevSecOps, and engineering process maturity.
• Broad understanding of applied AI domains including Language AI (LLMs, RAG, prompt engineering, agents), and multimodal AI.
• Experience deploying AI and software systems in privacy-sensitive, off-cloud, or enclave environments.
• Strong understanding of the AI lifecycle from experimentation, data preparation, and model evaluation to deployment, monitoring, and continuous improvement.
• Excellent leadership and team-building skills.
• Strong problem-solving and decision-making abilities.
• Effective communication skills to convey technical concepts to non-technical stakeholders.

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

Job Summary

You will lead the end-to-end development and execution of the AI platform, driving technology vision and architecture. You will build and scale engineering teams, represent the company externally, and ensure scalable, secure, and compliant AI solutions aligned with regulatory standards.

Responsibilities

• Lead the development and execution of the AI platform’s technology vision and architecture to deliver scalable, secure, and cloud-native solutions
• Build, structure, and guide internal engineering teams and external partners to scale the engineering function effectively
• Represent the company externally by translating complex technical capabilities into clear narratives for customers, partners, and investors
• Define and implement the technical architecture and platform strategy, ensuring alignment with regulatory requirements
• Establish interoperability and platform integration approaches using modern API-driven architectures and standards such as FHIR
• Set and enforce the organization’s security posture by defining principles and implementing robust identity and access management, encryption, monitoring, and risk management practices
• Guide decisions on data and AI infrastructure to support platform performance and reliability
• Define and embed responsible AI principles, including safety and privacy guardrails, into product design and engineering culture