Position Senior Engineer Digital Transformation

Collins Aerospace

Singapore

On-site

SGD 180,000 - 240,000

Full time

14 days+

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Job summary

Collins Aerospace in Singapore is seeking a senior leader to drive digital transformation across the organization. You will identify opportunities, lead multi-disciplinary teams and align technology with business goals. The role requires strong analytics, process optimization and stakeholder collaboration.

You will oversee the deployment of ML/AI, IoT and cloud-based workflows, ensuring on-time, on-budget delivery while promoting continuous learning and capability building across functions.

Qualifications

  • Bachelor's degree or higher in a STEM or related field, plus experience in digital transformation.
  • Proficiency in SQL, ingestion, advanced Excel data analysis and ML concepts.

Responsibilities

  • Lead development and execution of digital transformation strategies across the organization.
  • Spearhead integration of ML, AI, IoT and cloud-based systems into workflows.
  • Manage end-to-end delivery of complex digital transformation projects on time and budget.
  • Apply lean/Six Sigma to optimize processes and reduce costs.
  • Collaborate with Digital Technology, Operations and Engineering for alignment.
  • Lead change management and train teams for new systems and processes.
  • Stay up to date with trends and opportunities for digitalization.
  • Mentor citizen developers and team members.

Skills

SQL
Ingestion
Excel data analysis
Analytical techniques
Machine learning
Process redesign
Data analytics
Process automation
Infrastructure management
Cybersecurity mindset
LEAN Six Sigma Black Belt
CORE Accreditation
Stakeholder management
Communication

Education

Bachelor's degree in Engineering/Manufacturing/Digital Technology/Computer Science/Business Analytics or related discipline

Job description

Roles and Responsibilities
  • Lead the development and execution of digital transformation strategies aimed at optimizing operations across the organization. Identify key areas for digital innovation and process automation, while aligning with business objectives and goals.
  • Spearhead the integration of new digital technologies, such as ML, AI, IoT, and cloud‑based systems, into existing operational workflows. Drive automation initiatives to improve process efficiency and enhance the overall customer and employee experience.
  • Manage and lead the end‑to‑end delivery of complex digital transformation projects, ensuring on‑time and within‑budget execution. Collaborate with internal and external stakeholders to gather requirements, develop solutions, and track project progress.
  • Analyze and optimize business processes through the application of lean, Six Sigma, or similar methodologies. Use data‑driven insights to recommend operational improvements that streamline workflows, reduce redundancy, and minimize operational costs.
  • Work closely with departments such as Digital Technology, Operations and Engineering to ensure smooth implementation of transformation strategies. Act as a bridge between technical teams and business stakeholders, ensuring alignment with organizational objectives.
  • Lead change management efforts by identifying and addressing potential barriers to digital adoption within the organization. Train and support teams through the transition, ensuring new systems and processes are adopted successfully.
  • Stay up to date with the latest trends in digital transformation and emerging technologies. Continuously identify opportunities for further digitalization and operational improvements within the company.
  • Provide guidance and mentorship to citizen developers and team members. Share knowledge and best practices to elevate the team's capabilities and foster a culture of continuous learning.
Qualifications
  • Bachelor's Degree in Engineering, Manufacturing, Digital Technology, Computer Science, Business Analytics or related discipline.
  • Proficiency in SQL, ingestion, advanced Excel data analysis, advanced analytical techniques and machine learning algorithms.
  • Strong technical skills to facilitate process redesign, data analytics, process automation, infrastructure and system management.
  • Exceptional analytical thinking and problem‑solving abilities, with a strong data‑driven mindset.
  • Proficiency in data manipulation, and a strong understanding of machine learning concepts is a plus.
  • Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non‑technical stakeholders.
  • Proven cybersecurity and compliance mindset.
  • CORE Accreditation and/or LEAN Six Sigma Black Belt and a passion for process improvement and alignment.
  • Requires advanced knowledge of the work area typically obtained through advanced education combined with experience.
  • Typically requires a university degree or equivalent experience and a minimum of 5 years prior relevant experience, or an advanced degree in a related field and a minimum of 3 years experience.
  • Engineering/Other Technical Positions: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience unless prohibited by local laws or regulations.

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

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