Enterprise AI Leader: Data Science & Knowledge Graphs

SAP SE; Iowa; Híbrido; USD 274.000 - 609.000; Tempo integral

Resumo da vaga

SAP SE in the United States seeks an executive AI/ML leader to drive enterprise-scale AI programs. You will define technical strategy, align AI investments with business objectives, and govern model development across multiple teams while translating complex concepts to senior leadership.

You will build semantic foundations with knowledge graphs, ontologies and enterprise data platforms, lead globally distributed data science teams, manage budgets and partnerships, and partner with executives to

Qualificações

• 10+ years proven experience leading, mentoring, and growing high-performing teams of data scientists, ML engineers, and AI practitioners.
• Ability to define technical strategy, establish priorities, and align AI investments with business outcomes.
• 5+ years of people management leading data science and AI teams; strong hiring and coaching track record.
• Proven experience delivering large-scale AI programs across multiple teams and stakeholders.

Responsabilidades

• Define AI/ML architecture and platform strategy for enterprise deployments.
• Lead globally distributed teams and manage budgets, vendors, and partnerships.
• Translate complex business processes into reusable semantic frameworks and knowledge graphs.
• Collaborate with executives to shape AI investment priorities and governance.

Conhecimentos

Executive AI leadership

Strategic planning

Stakeholder management

People management

AI program governance

Cross-functional collaboration

AI strategy alignment

Budget and partnerships

Mentoring data science teams

Executive communication

Ferramentas

SAP Datasphere

SAP HANA Cloud Knowledge Graph Engine

SAP Business Data Cloud

SAP One Domain Model

SAP Graph API

SAP Business Accelerator Hub

Descrição da vaga

SAP SE in the United States seeks an executive AI/ML leader to drive enterprise-scale AI programs. You will define technical strategy, align AI investments with business objectives, and govern model development across multiple teams while translating complex concepts to senior leadership.

You will build semantic foundations with knowledge graphs, ontologies and enterprise data platforms, lead globally distributed data science teams, manage budgets and partnerships, and partner with executives to