Data Scientist (Project Lead - Data Science/AI) (Full-Time) IAC

recruit express pte ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Recruit Express Pte Ltd in Singapore seeks a Technical Business Analyst / Technical Project Manager to own AI and data science delivery—from problem definition to production handover.

You will engage with business stakeholders, shape objectives into clear scopes and success criteria, and guide teams through Agile/Scrum processes acrossCloud platforms.

You'll manage risks, governance, and stakeholder communications to ensure timely delivery and a smooth operational handover to BAU after release.

Qualifications

• Bachelor’s degree in STEM or related field.
• Proven track record in AI or data science project delivery.
• Experience applying Agile/Scrum to AI/ML projects.

Responsibilities

• Engage stakeholders to elicit requirements and translate them into project goals and success criteria.
• Lead end-to-end AI/data science projects with planning, tracking, and delivery ownership.
• Apply Agile/Scrum methodologies tailored to AI delivery and ensure governance.
• Communicate progress and results to non-technical stakeholders with clarity.
• Coordinate handover to BAU teams after release and capture key learnings.

Skills

Stakeholder management

Agile & Scrum

AI project delivery

Business analysis

Risk management

Education

Bachelor’s degree in STEM

Tools

GCP

AWS

Azure

Job description

Job Responsibilities

Project Strategy & Business Requirements Elicitation:

• Engage directly with business stakeholders across various industry domains to deeply understand their pain points, operational challenges, and strategic objectives.
• Shape project goals and translate complex, high-level business challenges into clearly defined project problem statements, scopes, deliverables, and success criteria.
• Work closely with Technical Leads, Data Scientists, Engineers, and Developers to validate that proposed AI/ML solutions are technically feasible and structurally aligned with client requirements.

End-to-End Delivery & Execution Management:

• Lead end-to-end Data Science and AI projects, taking full ownership of problem definition, planning, progress tracking, resource coordination, and delivery.
• Adapt and apply modern project management methodologies (e.g., Agile, Scrum) tailored to the unique flow of AI and data science delivery.
• Guide solutions seamlessly through all maturity stages: from initial prototype and validation phases to user testing, production readiness, and official release.

Risk Management & Governance:

• Actively identify, track, and manage project risks, issues, assumptions, and cross-team dependencies, escalating critical matters appropriately to ensure timeline integrity.
• Manage required project governance, ensuring all essential documentation, formal approvals, and stakeholder sign-offs are obtained throughout the project lifecycle.

Stakeholder Communication & Value Articulation:

• Present project progress, technical findings, and final outcomes in a clear, accessible, and business-friendly manner to non-technical stakeholders.
• Continuously gather stakeholder feedback throughout the delivery cycle to refine project direction and maintain strong organizational alignment.
• Manage stakeholder expectations, facilitate cross-departmental alignment, and build consensus between business and technical teams.

Operational Handover & Project Closure:

• Coordinate smooth, formal handovers to business-as-usual (BAU), support, or operational teams following official release to ensure long-term solution sustainability.
• Conduct formal project closures, capturing key learnings and ensuring all technical and operational handshakes are completed smoothly
• Any other ad-hoc duties as assigned by supervisor

Requirements

• Minimum Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM).
• Minimum 3+ years of progressive experience as a Technical Business Analyst, Technical Project Manager, Technical Product Owner, or in a similar delivery role supporting AI, data science, or data-driven products.
• Proven track record of managing the full AI or data science project lifecycle—from ideation and problem definition through development, testing, production deployment, and operational handover.
• Strong practical knowledge of project management methodologies, including Agile and Scrum, with demonstrated ability to adapt them specifically to AI/ML delivery.
• Familiarity with major cloud platforms and AI infrastructure (e.g., Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure).