#EG Senior Project Manager (Data & AI)

NCS Group; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

NCS Group in Singapore is looking for a Project Manager with substantial experience in the Data and AI domain. You will lead the planning and execution of innovative solutions, ensuring projects are completed on time and align with strategic goals.

The ideal candidate has a strong background in project management, a deep understanding of data lifecycle management, and excellent communication skills. A blend of technical understanding and stakeholder engagement is essential to drive positive business outcomes.

Qualifications

• 5–10 years of experience in project management, with 2–3 years in data, analytics, or AI projects.
• Strong understanding of data lifecycle management and analytics tools.
• PMP, PRINCE2, or Agile certification preferred.

Responsibilities

• Lead end-to-end project management for Data & AI initiatives.
• Serve as the main point of contact for project-related communications.
• Identify and manage project risks, issues, and change requests.

Skills

Project management

Stakeholder communication

Data analytics

Risk management

Agile methodology

AI technologies

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Business

Tools

Project management software

Job description

Job Description

We are looking for a Project Manager with strong experience in the Data and AI domain to lead the planning, execution, and delivery of innovative, data-driven solutions. You will work closely with technical teams and business stakeholders to ensure projects are delivered on time, within scope, and aligned with strategic objectives.

This role requires a blend of project management discipline, technical understanding, and stakeholder engagement to drive measurable business outcomes through the use of data, analytics, and AI technologies.

Project Planning & Execution

• Lead end-to-end project management for Data & AI initiatives, including scoping, planning, resource allocation, budgeting, and risk management.


• Define project objectives, timelines, and deliverables in collaboration with cross-functional teams (data engineers, data scientists, and business analysts).


• Monitor progress and manage dependencies to ensure successful project delivery.


• Ensure compliance with governance, security, and data management standards.

Stakeholder Management & Communication

• Serve as the main point of contact for all project-related communications and updates.


• Facilitate alignment between business sponsors, technical teams, and external partners.


• Prepare and present project reports, dashboards, and updates to leadership and stakeholders.


• Manage expectations and foster strong client and team relationships.

Delivery Quality & Risk Management

• Identify and proactively manage project risks, issues, and change requests.


• Ensure high-quality deliverables that meet business and technical requirements.


• Drive continuous improvement by capturing lessons learned and implementing best practices.

Team Collaboration & Leadership

• Coordinate and motivate cross-functional project teams, ensuring effective collaboration and communication.


• Support technical teams in resolving blockers and prioritizing work.


• Foster a culture of accountability, innovation, and delivery excellence.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Business, or related field.


• 5–10 years of experience in project management, with at least 2–3 years in data, analytics, or AI projects.


• Strong understanding of data lifecycle management, data platforms, analytics tools, and AI/ML concepts.


• Proven experience managing cross-functional technical teams in agile or hybrid delivery environments.


• Excellent stakeholder communication, negotiation, and presentation skills.


• PMP, PRINCE2, or Agile certification preferred.


• Strong problem-solving and analytical mindset.


• Ability to bridge the gap between technical and business stakeholders.


• Detail-oriented, organized, and proactive in managing multiple priorities.


• Passionate about using data and AI to create real business impact.