Project Lead (Data Science / AI)

Flintex Consulting

  • Central Region, Singapore
  • Permanent
  • Full-time
  • 6 days ago
Job Description:JOB OVERVIEW:The Project Lead is responsible for the successful delivery of large scale, complex tech-enabled change projects, managing and coordinating the full project lifecycle across diverse industries. You will lead data science and AI projects end-to-end—from gathering business requirements to developing models, evaluating outcomes, and deploying scalable solutions—while collaborating with business stakeholders, product owners, cross-functional teams in a fast-paced, innovation-driven environment.DUTIES AND RESPONSIBILITIES:
  • Deliver data science or AI projects, including scoping, planning, execution, risk management, and closure.
  • Translating complex business problems into well-defined analytical questions and project plans with clear scope, milestones, and deliverables.
  • Collaborate with business and technical teams to gather requirements, define deliverables, and align priorities.
  • Prioritize tasks and deliverables based on business impact, resource availability, and technical feasibility, while developing and maintaining detailed project plans, timelines, and resource allocations.
  • Communicate project status, risks, and milestones clearly to all stakeholders.
  • Ensure proper documentation, stakeholder sign-offs, and smooth handover to business-as-usual teams.
  • Present results in a business-friendly format and gather feedback.
QUALIFICATIONS AND EXPERIENCES:
  • Bachelor’s degree in Science, Technology, Engineering, Mathematics or related field is required.
  • Minimum 3 years of experience as a project manager specifically for data science or AI/ML projects or products.
  • Proven experience managing the data science project lifecycle from ideation to production.
  • Strong understanding of project management methodologies (e.g., Agile, Scrum) adapted for data science.
  • Exceptional stakeholder management and communication skills, with an ability to manage expectations and build consensus.
  • Familiarity with cloud computing platforms (e.g., GCP, AWS, Azure).
  • Highly proactive, takes strong ownership, and can work independently with minimal supervision.
Nice to have: Data science or AI experience, qualification or certification.Working hours:Mon to Fri, 8:30am to 5:30pm

Flintex Consulting

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