AI & Data Product Lead — End-to-End Delivery

RECRUIT EXPRESS PTE LTD

Singapore

On-site

SGD 90,000 - 120,000

Full time

14 days+
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Job summary

RECRUIT EXPRESS PTE LTD in Singapore is seeking a Technical Business Analyst/Project Manager to lead AI and data-driven initiatives from ideation to production deployment and handover. You will engage business stakeholders to define objectives, translate requirements into technical tasks, and drive end-to-end delivery with Agile/Scrum practices.

Collaboration with data scientists, engineers and technical leads is essential.

Qualifications

  • 3+ years in Technical Business Analyst, Technical PM, Technical PO or similar role.
  • Proven experience delivering AI, Data Science or data-driven projects end-to-end.
  • Strong knowledge of Agile/Scrum project management.
  • Familiarity with cloud infrastructure (AWS, Azure or GCP).

Responsibilities

  • Lead end-to-end AI, Data Science and data-driven projects from ideation through deployment and handover.
  • Engage business stakeholders to define objectives, scope, deliverables and success criteria.
  • Translate business requirements into technical tasks for Tech Leads, DS and Engineers.
  • Manage timelines, resources, risks, issues, dependencies and governance.
  • Apply Agile/Scrum practices and adapt delivery for AI/ML projects.
  • Communicate progress and outcomes clearly to non-technical stakeholders.
  • Align business and technical teams and manage stakeholder expectations.
  • Handle ad-hoc duties as assigned by supervisor

Skills

AI/ML project management
Stakeholder management
Agile/Scrum
Data-driven decision making

Tools

AWS
Azure
GCP

Job description

RECRUIT EXPRESS PTE LTD in Singapore is seeking a Technical Business Analyst/Project Manager to lead AI and data-driven initiatives from ideation to production deployment and handover. You will engage business stakeholders to define objectives, translate requirements into technical tasks, and drive end-to-end delivery with Agile/Scrum practices.

Collaboration with data scientists, engineers and technical leads is essential.

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