Assistant Project Manager (Data Analytics)

Digital Hub, SG

ST Engineering

At ST Engineering, we harness technology and innovation to enable a more secure and sustainable world. Discover our innovations for smart cities, defence and security.

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About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

 

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

 

About our Line of Business – Mission Software & Services 

Our Mission Software & Services business provides leading-edge mission critical command, control, and communications (C3) systems with secured IT infrastructure and managed services. We support our client’s innovation journey through design thinking, analytics, and AI-enabled decision support with our full suite of cloud computing solutions. We provide intelligent, actionable insights and sustainable solutions to our valued partners in diverse industries including defence, government, and commercial sectors.

 

Together, We Can Make A Significant Impact 

We are seeking an experienced and highly motivated Assistant Project Manager with a strong background in managing Data Analytics and Business Intelligence (BI) platform projects. The ideal candidate will be responsible for end-to-end project delivery, stakeholder management, team coordination, and ensuring alignment with business goals. Familiarity with modern data analytics tools, cloud-based platforms, and enterprise data strategies is essential.

 

Be Part of Our Success

  • Lead and manage cross-functional teams to deliver projects related to data analytics platforms (e.g., data lakes, BI tools, dashboards, data pipelines).
  • Define project scope, objectives, timeline, and deliverables in collaboration with stakeholders and technical teams.
  • Develop and maintain detailed project plans, including schedules, resources, risk assessments, and budgets.
  • Coordinate with data engineers, analysts, data scientists, and business users to ensure smooth delivery of analytics solutions.
  • Monitor and control project performance using appropriate KPIs, ensuring timely delivery within budget and scope.
  • Manage stakeholder expectations and communicate effectively at all levels of the organization.
  • Ensure adherence to data governance, security, and compliance policies.
  • Prepare executive status reports and documentation throughout the project lifecycle.

Qualities We Value

  • 2 - 4 years of experience in project management on data analytics platform delivery.
  • Proven experience in leading data platform projects.
  • Strong understanding of data warehousing, ETL/ELT pipelines, big data, and cloud technologies.
  • Excellent communication, leadership, problem-solving, and organizational skills.
  • Ability to manage multiple priorities in a fast-paced environment.

Our Commitment That Goes Beyond the Norm

  • An environment where you will be working on cutting-edge technologies and architectures.
  • Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
  • Meaningful work and projects that make a difference in people’s lives.
  • A fun, passionate and collaborative workplace.
  • Competitive remuneration and comprehensive benefits.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Big Data Business Intelligence Data Analytics Data governance Data pipelines Data Warehousing ELT Engineering ETL KPIs Pipelines Security

Region: Asia/Pacific
Country: Singapore

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