Worldwide Flight Services (WFS)
Global AI Technical Product Lead

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Who we are
Headquartered in Singapore, SATS Ltd. is one of the world’s largest providers of aviation service provider in air cargo, ground handling and Asia’s leading airline caterer. SATS Gateway Services provides airfreight and ground handling services including passenger services, ramp and baggage handling, aviation security services, aircraft cleaning and aviation laundry. SATS Food Solutions serves airlines, institutions, and operates central kitchens with large-scale food production and distribution capabilities for a wide range of cuisines. SATS is present in the Asia-Pacific, the Americas, Europe, the Middle East and Africa, powering an interconnected world of trade, travel and taste. Following the acquisition of Worldwide Flight Services (WFS) in 2023, the combined SATS and WFS network operates over 225 stations in 27 countries. These cover trade routes responsible for more than 50% of global air cargo volume. SATS has been listed on the Singapore Exchange since May 2000. For more information, please visit www.sats.com.sg
The Role
We are looking for an Global AI Technical Product Lead (Applied AI and Machine Learning) to lead the execution of High Impact AI and ML powered products across the organization. This is a high-impact individual leadership role operating as a horizontal Technology and product leader across Engineering, Operations, and Business teams. This is a hands-on leadership role combining strong technical depth and business impact ownership. You will combine deep technical expertise and product ownership in AI products with strong leadership and cross-functional execution. This is a transformation role focused towards High Impact and Targeted Use Cases at SATS globally. The leadership demands a constant connection with the frontline (Gemba), Business team, operational Excellence team, AI CoE, Global Data Science delivery team, Global Data Engineering and Management team. You will report directly to SVP of Data & AI to drive high-impact, strategic projects.
Key Responsibilities
Product Development
- As a Data and AI product leader you are an expert in Data, AI and ML scalable systems and infrastructure, solving complex problems
- Leading and bringing in the product lens for big bets AI programs across SATS. Working closely with the product owners (Operational Excellence) converting a project / program approach to a product based from Technical perspective, ensuring alignment with organizational priorities and successful delivery of products embedding in the business processes.
- Own the Technical product roadmap for Strategic and Big Bet initiatives, technical readiness and completeness for global roll-out to different stations across SATS. Lead end-to-end AI Technical product lifecycle (From Discovery and Scale)
- Translate business problems into scalable AI solutions, Act as single-threaded Delivery owner for key AI initiatives working along with AI CoE, Global Data Engineering and delivery using Global Capability Centre for scalability. Drive adoption and continuous improvement working closely with the frontline as part of co-creation and FDE mindset.
- Working closely with SVP, Data and AI you will work and help Influence organizational leadership, business product teams, customers, partners, and suppliers by setting strategic direction for AI/ML products and Services driving key initiatives
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Problem Solving and Foundational Skills
- Have mastered the concepts and can demonstrate Deep Learning, Statistical Analysis, Data Engineering, Big Data Technologies, Natural Language Processing (NLP) & Data Processing Frameworks skills in complex scenarios
- Hands-on understanding of the code base, be part of development (whenever needed) and play as a role of an FDE for advanced forecasting models (time series, probabilistic, hierarchical) and roll out for various stations globally working closely with the Globally Data Science Leader and Data Scientists and AI CoE leader.
- Design and implement optimization models (MIP, LP, heuristics) working closely with the Global Data Science and ML Team.
- Develop simulation frameworks for operational decision-making based on the outputs of the optimization engine to simulate / what if analysis.
- Solving complex, ambiguous business problems using data science techniques
- Build, Test and be part of the team for production roll-out.
- Collaborate with engineering teams for deployment and monitoring
- Ensure model robustness, explainability, and performance


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Business Impact & Stakeholder Engagement
- Translate business requirements into Data and AI solutions
- Partner with operations and product teams to deliver measurable outcomes
- Communicate insights to technical and non-technical stakeholders
Success Metrics
- Delivery of high-impact AI products, Adoption and Scalability
- Business value realization, Cross-team alignment and execution effectiveness
- Recognition as a key Leader in SVP Data & AI Leadership team
Job Requirements
Educational Qualifications:
- MSc / PhD in Computer Science, Data Science, Mathematics, Operations Research, or related field
- Ongoing commitment to training and professional development in AIML, Aviation Domain, Cargo handling, Ground handling milestones, Ground Freight and Food solutions.
Relevant Skills & Experience:
- 10+ years in data science or applied AI
- Strong expertise in: Time series forecasting, Optimization (MIP/LP) & Simulation techniques
- Proficiency in Python (NumPy, Pandas, PyTorch, OR-Tools) Python (SimPy, Gurobi), Python, SQL
- Strong statistical modeling
- EDA, statistical analysis
- Experience deploying models in production environments
Personal Characteristics & Behaviours:
- Strong analytical thinking
- Problem-solving mindset
- Ability to work in ambiguous environments
- Strong communication skills
Travel Requirements
- Some international travel may be required
Core Values
We have 5 core People Values at SATS.
- Safety: Safety – its ingrained in our DNA
- Customer Focus: Every smile is a win for us
- Respect: We strive to listen, understand and respect.
- Excellence: Excellence isn’t just a goal, it’s the SATS way.
- Teamwork: We don’t just collaborate. We amplify each other’s strengths.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location