DESCRIPTION AND REQUIREMENTS

Service Delivery Director – Application Development (AI, Data, and Full Stack)
The Service Delivery Director will lead and manage the delivery of application development services, with a focus on AI-driven solutions, data platforms, and full-stack development. This role is responsible for ensuring the successful design, development, deployment, and maintenance of applications that align with business goals. The ideal candidate will have a strong background in AI, data engineering, and full-stack development, along with proven experience in managing large-scale IT service delivery teams.
Key Responsibilities:

1. Strategic Leadership:

• Define and execute the strategic roadmap for application development, focusing on AI, data, and full-stack solutions.
• Align service delivery objectives with business goals and ensure the delivery of high-quality, scalable, and innovative solutions.
• Drive the adoption of AI and data-driven technologies to enhance business processes and customer experiences.

1. Service Delivery Management:

• Oversee the end-to-end delivery of application development projects, ensuring timely and within-budget delivery.
• Manage the development, deployment, and maintenance of AI models, data platforms, and full-stack applications.
• Ensure adherence to best practices in software development, data engineering, and AI/ML model deployment.

1. Team Management:

• Lead and mentor cross-functional teams, including developers, data scientists, AI engineers, and DevOps professionals.
• Foster a culture of innovation, collaboration, and continuous improvement within the team.
• Ensure teams are equipped with the necessary tools, training, and resources to deliver high-quality solutions.

1. Stakeholder Engagement:

• Collaborate with internal stakeholders (e.g., business units, product managers) and external partners to understand requirements and deliver solutions.
• Act as the primary point of contact for service delivery issues, ensuring effective communication and resolution.
• Provide regular updates to senior leadership on project status, risks, and opportunities.

1. Technical Oversight:

• Ensure the development and maintenance of robust, scalable, and secure applications.
• Oversee the integration of AI/ML models into applications and data pipelines.
• Monitor the performance of applications and data platforms, ensuring optimal functionality and user experience.

1. Quality Assurance and Compliance:

• Implement and enforce quality assurance processes to ensure the reliability and performance of applications.
• Ensure compliance with industry standards, data privacy regulations, and security protocols.

1. Innovation and Continuous Improvement:

• Stay updated on emerging technologies and trends in AI, data engineering, and full-stack development.
• Identify opportunities to leverage new technologies to improve service delivery and business outcomes.
• Drive continuous improvement initiatives to enhance development processes and service quality.

Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

• Experience:
• 10+ years of experience in application development, with a focus on AI, data, and full-stack solutions.
• 5+ years of experience in a leadership or managerial role, overseeing large-scale IT service delivery teams.
• Proven track record of delivering complex, AI-driven applications and data platforms.

Technical Skills:

• Strong knowledge of AI/ML frameworks and data engineering tools (e.g., Hadoop, Spark).
• Expertise in full-stack development technologies (e.g., JavaScript, React, Node.js, Python, Java).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and DevOps practices.
• Familiarity with data governance, security, and compliance standards.

Soft Skills:

• Excellent leadership, communication, and stakeholder management skills.
• Strong problem-solving and decision-making abilities.
• Ability to manage multiple priorities in a fast-paced environment.

Preferred Qualifications

• Certifications in AI/ML, cloud platforms, or project management (e.g., PMP, Scrum Master).
• Experience in industries such as finance, healthcare, or e-commerce, where AI and data-driven solutions are critical.
• Knowledge of Agile and DevOps methodologies.

Key Performance Indicators (KPIs):

• On-time and within-budget delivery of application development projects.
• High user satisfaction and adoption rates for delivered solutions.
• Improved efficiency and performance of AI models and data platforms.
• Reduction in application downtime and maintenance issues.
• Successful implementation of innovation initiatives.

Additional Locations:

• Singapore - Central Singapore - Singapore
• Singapore - Central Singapore - SINGAPORE
• Singapore

• Singapore - Central Singapore

• Singapore - Central Singapore - Singapore , * Singapore - Central Singapore - SINGAPOR

Please refer the Job description for details