Title:  Division Head, Learning Analytics & Data Insights

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business - Training & Simulation Systems

Our Training & Simulation Systems business has close to 40 years of experience in delivering innovative learning, training, and simulation solutions to customers in the defence, public safety and security, and enterprise domains. We envision to create a better future together through learning, training, and simulation.

Together, We Can Make A Significant Impact 

We are seeking a strategic and forward-thinking Division Manager to lead and scale one of our New Services divisions for Learning Technologies Business Unit. This leadership role emphasizes AI/ML-powered learning analytics and business growth strategy in the training and education industry.
The ideal candidate brings a robust background in data analytics, product management, and learning science, with proven experience in managing high-performing teams and delivering data-driven solutions that impact learner success and business performance.

Be Part of Our Success
Division Strategy & Business Growth

• Strategise, plan, and grow the division’s consultancy and analytics portfolio to meet annual revenue and profit targets.
• Lead go-to-market strategy, value proposition development, and execution of analytics-enabled education solutions.
• Build a sustainable pipeline of consulting, data analytics, and product development opportunities in collaboration with business development and pre-sales teams.
• Cultivate partnerships across higher education, public agencies, and workforce development organizations.

Data Analytics Leadership

• Provide thought leadership on leveraging data analytics to transform learning and training outcomes.
• Architect data strategies that enable predictive analytics, learning personalization, and competency measurement through the use of data analytics technologies.
• Oversee design and implementation of dashboards and analytics frameworks for to meet learning and training objectives.

Product & Service Innovation

• Drive product strategy and roadmap for learning analytics and AI/ML platforms.
• Align technical delivery with client needs, regulatory frameworks, and learning science.
• Maintain lifecycle management, continuous enhancement, and feedback-driven iteration for all analytic offerings.

HR Leadership & Capability Building

• Lead recruitment, coaching, and career development of consultants, analysts, and learning data scientists.
• Supervise technical and non-technical teams across project delivery, innovation, and client engagement.
• Foster a high-performance culture and ensure domain capabilities remain future-ready through skills development and mentoring.

Operational and Functional Oversight

• Develop performance forecasting models and analytic-driven business plans.
• Collaborate with finance, legal, and HR to support business operations, contract compliance, and workforce planning.
• Ensure governance and ethical use of AI/ML models and learner data.

Qualities We Value

• 5+ years of progressive experience, with 2+ years in a leadership role.
• Experience in the education or training industry preferred, especially in digital transformation or EdTech strategy.
• Demonstrated success in managing analytics or consulting P&L, business development, and client delivery.
• Strong product management and commercialization experience.
• Domain Expertise in Data Analytics (as Subject Matter Expert)
• Statistical modeling and machine learning (e.g., classification, clustering, regression, NLP)
• Educational data mining (EDM) and learner modeling
• Visualization tools (e.g., Power BI, Tableau. SAS)
• Data governance, security, and privacy in learning contexts
• Forecasting and prescriptive analytics for workforce development
• Knowledge of learning architectures such as Total Learning Architecture (TLA).

Leadership & Business Skills

• Strategic planning and execution
• Forecasting and financial planning
• Pre-sales and consultative solutioning
• Talent development, team building, and matrix supervision
• Excellent communication and stakeholder engagement

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated. 
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.