Delivery Manager (Data Analytics)

ST Electronics 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 

Our Training & Simulation Systems business has close to 40 years of experience in delivering innovative learning, training, and simulation solutions to customers in the defence, public safety and security, and enterprise domains. We envision to create a better future together through learning, training, and simulation.

 

Together, We Can Make A Significant Impact 
The role involves managing and leading Data and Analytics projects from inception to completion, ensuring they are delivered on time, within scope, and meet quality and GP standards. Key responsibilities include managing project resources, timelines, risks, and stakeholder relationships, as well as overseeing project financials and team development. The ideal candidate will have at least 5 years of experience in project management, with a proven track record in leading end-to-end data or AI projects as a vendor PM, particularly in Government sector. Strong leadership, problem-solving, and communication skills are essential.

 

Be Part of Our Success

  • Manage and Lead Projects: Take charge of Data and Analytics projects from inception to successful completion.
  • Scope and Timeline Management:  Effectively manage project scope, dependencies, and timeline.  
  • Project P&L Management:  Manage project resources effectively to meet the expected project gross margin.
  • Risks and Issues Management:  Identify risks and issues, and proactively resolve/mitigate them.
  • Quality Assurance:  Ensure the projects are delivered within the defined time, cost and quality parameters.
  • Efficient Execution:  Oversee the performance of tasks essential for achieving efficient project objectives.
  • Stakeholder Management:  Engage effectively with key stakeholders, manage, and maintain strong working relationships with clients.
  • Team Development:  Coach and develop project team members.
  • Proposal Leadership:  Lead the development of project proposal and ensure accurate cost estimation and adequate assumptions.

 

Qualities We Value 

  • Educational Background:  Hold a minimum of a bachelor’s degree in Computer Science or related fields.
  • Project Experience:  Have experience managing 2 to 3 end-to-end data warehouse, data visualisation, and / or Analytics implementation.  At least one of these implementations should have been in the Government or Education sector as a vendor project manager.
  • Year of Experience:  Possess 5 or more years of experience in Data Management and Enterprise Business Intelligences implementations.
  • Leadership Experience: Demonstrate leadership skills, flexibility, and the ability to build strong relationship with clients, team members, managers, and senior executives in a consulting context.
  • Problem-Solving:  A self-starter with an analytical approach to problem solving. Enjoy problem-solving across various domains and industries.
  • Team Collaboration:  Thrive in a highly energetic and competent team environment.
  • Quality Expectation:  Prioritize client satisfaction, focus on outcome and uphold quality standards.
  • Communication Skills:  Excellent communication skills; both in written and spoken English.

 

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 Computer Science Consulting Data Analytics Data management Data warehouse Engineering Security

Perks/benefits: Career development

Region: Asia/Pacific
Country: Singapore

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