Data Science Leader: Enterprise Knowledge Graphs

SAP; Singapore; On-site; SGD 240,000 - 360,000; Full time

Job summary

SAP in Singapore is seeking a Data Science Leader (Senior Manager) to shape and lead AI initiatives across the enterprise. You will guide a team of data scientists, ML engineers, and AI practitioners, defining strategy and delivering production-grade solutions grounded in SAP data and processes.

You will partner with executives to translate business needs into scalable AI platforms, drive governance, and foster a culture of technical excellence, learning, and collaboration across global teams.

Qualifications

• 10+ years leading data science and AI teams.
• Define technical strategy and align AI investments with business goals.
• Build a culture of technical excellence, operational rigor, and continuous learning.
• Excellent stakeholder management and executive communication.
• 5+ years people management in data science and AI teams.
• Deliver large-scale AI programs across multiple teams and partners.

Responsibilities

• Define AI strategy and priorities aligned to business outcomes.
• Lead data science and ML engineering teams to deliver production-ready solutions.
• Governance, responsible AI practices, and lifecycle management for enterprise-scale deployments.
• Collaborate with executives to translate business needs into scalable AI platforms.
• Foster cross-functional collaboration and mentorship across global teams.

Skills

Leading teams

Technical strategy

Technical excellence

Executive communication

People management

Large-scale AI programs

Global teams

AI adoption

Thought leadership

SAP domain knowledge

SAP platforms

Job description

SAP in Singapore is seeking a Data Science Leader (Senior Manager) to shape and lead AI initiatives across the enterprise. You will guide a team of data scientists, ML engineers, and AI practitioners, defining strategy and delivering production-grade solutions grounded in SAP data and processes.

You will partner with executives to translate business needs into scalable AI platforms, drive governance, and foster a culture of technical excellence, learning, and collaboration across global teams.