Head of Advanced Models and Algorithms

• Build and lead a high-performing advanced analytics capability spanning operations research, machine learning, and applied AI, with responsibility for team structure, hiring, onboarding, coaching, and technical standards.
• Define and enforce the team’s engineering and scientific delivery practices, including coding conventions, peer review, model documentation, experiment tracking, evaluation discipline, and clear definitions of done for algorithm deliverables.
• Own end-to-end algorithm delivery for applied AI and optimisation use cases, translating ambiguous business problems into well-formulated solutions with measurable outcomes and agreed success criteria.
• Take a hands-on leadership role in early engagements by shaping models, writing or reviewing code, validating outputs, and setting the technical benchmark for future delivery teams.
• Partner with business stakeholders, product teams, and engineering leads to scope use cases, confirm data readiness, assess feasibility, estimate algorithm effort, and align delivery plans with operational priorities.
• Support strategic pre-sales and solutioning activities by shaping technically credible, commercially compelling AI and optimisation solutions for complex operational environments.
• Present complex modelling approaches, technical trade-offs, delivery risks, and business value clearly to client operations, engineering, and leadership stakeholders.
• Coordinate cross-entity delivery with offshore and distributed teams by defining component boundaries, data requirements, handover points, governance expectations, and quality controls for each engagement.

• Master’s or PhD degree in Operations Research, Computer Science, Applied Mathematics, Statistics, Machine Learning, Artificial Intelligence, or a closely related quantitative discipline.
• 10+ years of experience building machine learning, optimisation, or advanced algorithmic systems, including at least 3 years leading technical teams with hiring, coaching, and delivery accountability.
• Proven track record delivering algorithmic solutions into production within complex operational domains such as aviation, aerospace, manufacturing, logistics, mobility, or other mission-critical environments.
• Recent hands-on proficiency in Python, with production experience in optimisation solvers such as Gurobi, CPLEX, COPT, or OR-Tools, and/or modern ML frameworks such as PyTorch, scikit- learn, or equivalent technologies.
• Strong ability to translate business and operational challenges into mathematically sound formulations, measurable objectives, and practical implementation plans.
• Demonstrated leadership in technical governance, including model review, code quality, experiment tracking, production readiness, documentation, and delivery risk management.
• Excellent English communication skills, with the ability to engage confidently with senior stakeholders, client teams, engineers, data scientists, and cross-border delivery teams.

Preferred:

• Domain expertise in airline, airport, MRO, aircraft OEM, or large-scale industrial operations, particularly in areas such as maintenance scheduling, revenue management, fleet assignment, crew or resource optimisation, production planning, or asset utilisation.
• Experience building a new technical function or specialist capability from the ground up, whether in a startup, new subsidiary, new site, or transformation environment within an established organisation.
• Experience operating in multinational, cross-border, or distributed delivery models with clear data boundaries, governance controls, stakeholder alignment, and handover responsibilities.
• Personal delivery experience across both operations research and machine learning, with the ability to bridge mathematical modelling, data-driven methods, engineering implementation, and business adoption.
• Recognised contribution to the algorithm, optimisation, or applied AI community through publications, conference participation, open-source work, industry research, competitions, or equivalent technical achievements.

• Direct interface with senior leadership in Singapore.
• A defined career development pathway within a global organization operating across aerospace, smart city, marine, and digital systems.
• Competitive total compensation package

Báo cáo cho

GM