Data Tech Project Lead: AI & Cloud Solutions

Quantum Infotech Solutions

Singapore

On-site

SGD 120,000 - 180,000

Full time

10 days ago

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Qualifications

  • Experience managing data projects end-to-end with plans and timelines.
  • Ability to estimate effort and define technical scope for data tasks.
  • Hands-on experience with data technologies on GCP and AWS; understanding of AI and LLM-based solutions.
  • Proven ability to lead data teams, review code and designs, and track progress.
  • Strong liaison between business stakeholders and tech teams; translate business needs into data solutions.

Responsibilities

  • Manage data projects end-to-end with plan, scope, timelines, team allocation, and provide regular progress updates to stakeholders along with risks and issues.
  • Good at effort estimation of data assignments and define technical scope
  • Hands-on experience with modern data technologies on GCP, AWS with good understanding of agentic AI and LLM-based solutions
  • Lead and coordinate data teams — set clear goals, remove blockers, review code and designs, and track progress
  • Single point of contact between business stakeholders and tech teams — convert business needs into data solutions, manage scope changes, and present updates, risks, and dependencies to senior leadership.

Skills

Data project management
Team leadership
Stakeholder communication
GCP
AWS
LLMs/AI
Code review

Tools

GCP
AWS

Job description

Job Description:
  • Manage data projects end-to-end — own the plan, scope, timelines, team allocation, and provide regular progress updates to stakeholders along with risks and issues
  • Good at effort estimation of data assignments and define technical scope
  • Hands-on experience with modern data technologies on GCP, AWS with good understanding of agentic AI and LLM-based solutions
  • Lead and coordinate data teams — set clear goals, remove blockers, review code and designs, and track progress
  • Single point of contact between business stakeholders and tech teams — convert business needs into data solutions, manage scope changes, and present updates, risks, and dependencies to senior leadership
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