AI Solutions Leader

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.