IT Project Management (AI / Data Science)

RECRUIT EXPRESS PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RECRUIT EXPRESS PTE LTD in Singapore seeks a Data Scientist/Project Manager to bridge business strategy and AI delivery. Lead end-to-end data science and AI projects, translating business challenges into clear objectives and actionable plans.

This role balances business acumen with technical delivery leadership, coordinating cross-functional teams and guiding the project lifecycle from ideation to production release, with emphasis on risk management and governance.

Job description

JOB OVERVIEW

The Data Scientist/ Project Manager serves as the critical bridge between strategic business vision and successful AI delivery. This role is dedicated to leading end-to-end Data Science and AI projects by translating complex business challenges, pain points, and requirements into clearly defined project objectives, actionable plans, and high-impact solutions.

By balancing strong business acumen with technical delivery leadership, the incumbent manages project risks, aligns cross-functional technical teams, and guides solutions across the entire project lifecycle-from ideation and prototyping to production deployment and official release. Ultimately, this role ensures seamless stakeholder alignment, high-quality execution, and the successful handover of scalable AI initiatives to operational teams.

Core Focus Areas

• End-to-End Delivery Leadership: Managing the full project lifecycle from initial problem definition, scoping, and milestone tracking to user testing, production deployment, and project closure.
• Stakeholder Engagement & Vision Alignment: Engaging directly with business stakeholders to understand pain points, shape project goals, and communicate complex outcomes in a business-friendly manner.
• Business-to-Technical Translation: Converting high-level business vision and challenges into precise project scopes, actionable tasks, clear deliverables, and defined success criteria.
• Cross-Functional Collaboration: Partnering closely with Technical Leads, Data Scientists, and Engineers to ensure proposed solutions are technically feasible and aligned with business needs.
• Risk Management & Governance: Proactively identifying and mitigating project risks, issues, and dependencies while ensuring required documentation, approvals, and operational handovers are completed.