Data & AI Projects Lead

NCS Pte Ltd

Singapore

On-site

SGD 90,000 - 130,000

Full time

7 hours ago

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Job summary

NCS Pte Ltd in Singapore seeks an experienced Project Manager with strong Data & AI domain expertise 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 blends project management discipline with technical understanding and stakeholder engagement to drive measurable business outcomes through

Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Business, or related field.
5-10 years of project management experience, with 2-3 years in data/analytics/AI projects.
Strong understanding of data lifecycle management, data platforms, analytics tools, and AI/ML concepts.
Proven experience leading cross-functional technical teams in agile or hybrid delivery environments.
Excellent stakeholder communication, negotiation, and presentation skills.
PMP, PRINCE2, or Agile certification preferred.

Responsibilities

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 with cross-functional teams.
Monitor progress and manage dependencies to ensure successful delivery.
Ensure governance, security, and data management standards are followed.
Serve as main point of contact for project communications and updates.
Facilitate alignment between sponsors, technical teams, and external partners.
Prepare and present project reports, dashboards, and updates to leadership.
Manage expectations and foster strong client and team relationships.
Identify and proactively manage project risks, issues, and change requests.
Ensure high-quality deliverables that meet requirements.
Drive continuous improvement by capturing lessons learned.
Coordinate and motivate cross-functional teams, ensuring collaboration.
Support technical teams in resolving blockers and prioritizing work.
Foster accountability, innovation, and delivery excellence.