AI Solutions Leader

Barnes Aerospace; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Barnes Aerospace Singapore is seeking an AI Solutions Lead to oversee and drive the AI agenda across Smart Factory, Manufacturing Operations, Engineering & NPI, and Commercial functions.

In this role you will identify high-value AI opportunities, translate business needs into scalable solutions, and ensure measurable impact while upholding governance, security and AS9100 compliance. You will lead a team of five AI engineers and collaborate with cross-functional stakeholders.

Qualifications

• Minimum 5 years in data science, AI, or digital transformation.
• Proven track record delivering AI/analytics projects to production.
• Working knowledge of ERP, MES and PLM systems.
• Strong communication and influencing skills with executives and shop floor.
• Ability to build business cases and quantify ROI.
• Strong problem-solving and stakeholder-management skills.
• Experience mentoring technical team members.

Responsibilities

• Develop and maintain AI roadmap with business unit leaders.
• Identify and prioritise AI opportunities across Smart Factory, Manufacturing Operations, Engineering & NPI, and Commercial functions.
• Prepare business cases including investment requirements, expected benefits and ROI.
• Track and report the value and ROI delivered from AI initiatives.
• Design end-to-end AI solution architectures, including data flows and deployment approach.
• Establish governance to ensure AI solutions are scalable, secure and compliant.
• Lead, coach and develop a team of five AI Engineers.
• Manage AI governance covering security, ITAR/EAR and AS9100 requirements.
• Collaborate with Business Units, IT, Quality and domain champions for adoption.
• Manage technology partners, vendors and the AI budget.

Skills

Data science

Artificial intelligence

Digital transformation

Stakeholder management

Project delivery

Team leadership

Education

Engineering or CS degree

Tools

ERP systems

MES systems

PLM systems

Job description

Barnes Aerospace Singapore, with legal entity name - Windsor Airmotive Asia Pte Ltd in the Accounting and Corporate Regulatory Authority (ACRA), is a leading provider of Maintenance, Repair, and Overhaul (MRO) services and spare parts for many of the world's major turbine engine manufacturers, airline operators, and third-party providers. The Barnes Aerospace Singapore OEM Division is a world-class provider for Original Equipment Manufacturer (OEM), specializing in precision stamped assemblies and tight tolerance machining, serving a robust global customer base throughout the aerospace industry. To learn more about Barnes Aerospace, please visit www.barnesaero.com.

Barnes Aerospace is seeking AI Solutions Lead to oversee and lead the AI team in Singapore. This role will define and deliver the AI roadmap across Smart Factory, Manufacturing Operations, Engineering & NPI, and Commercial functions. The role will identify high-value AI opportunities, translate business needs into scalable solutions, and ensure measurable business impact while maintaining appropriate governance, security and compliance standards.

Core Responsibilities:

• Develop and maintain the AI roadmap and use-case portfolio in partnership with Business Unit leaders.
• Identify, assess and prioritise AI opportunities across Smart Factory, Manufacturing Operations, Engineering & NPI, and Commercial functions.
• Prepare business cases for AI initiatives, including investment requirements, expected benefits and return on investment.
• Track and report the value and ROI delivered from AI initiatives.
• Design end-to-end AI solution architectures, including technical standards, data flows, integrations and deployment approach.
• Establish standards to ensure AI solutions are scalable, secure and fit for business use.
• Lead, coach and develop a team of five AI Engineers.
• Establish and manage AI governance covering security, responsible use, ITAR/EAR and AS9100 requirements.
• Work closely with Business Unit leaders, IT teams, Quality and domain champions to ensure successful adoption of AI solutions.
• Manage technology partners, vendors and the AI budget.

Qualifications:

• 5 years of experience in data science, artificial intelligence, digital transformation or technology solution delivery.
• Proven experience leading at least one AI or analytics project from concept through to production implementation.
• Working knowledge of ERP, MES and PLM systems.
• Strong ability to communicate and influence effectively with both senior executives and shop-floor employees.
• Demonstrated ability to build business cases, quantify business value and monitor ROI.
• Strong problem-solving, stakeholder-management and project-delivery skills.
• Experience leading, developing or mentoring technical team members.

Education Requirements:

• Bachelor's or Master's degree in Engineering, Computer Science or a related discipline.

Preferred Qualifications:

• Experience in aerospace, MRO or discrete-manufacturing environments.
• Exposure to Lean, Six Sigma, Smart Factory or Industry 4.0 initiatives.
• Cloud, AI or solution architecture certification.