- Singapore
Full Time Global HR Tech - AI Empowerment Manager Jobs, in Michael Page - Maukerja
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Job Description
Responsibilities
- Competitive compensation, benefits, and long-term career growth
- Design scalable AI platforms across workforce management functions
Our client is a multinational organisation undergoing significant digital transformation and investing heavily in AI-driven workforce solutions across its international operations.
Job Description
- Identify high-value HR transformation opportunities and develop AI-enabled solutions that address workforce, talent, compliance, and employee experience challenges.
- Design and evolve a long-term HR AI architecture roadmap aligned with broader digital transformation objectives.
- Lead proof-of-concept initiatives, technology assessments, and implementation activities to validate and scale new capabilities.
- Develop reusable frameworks, governance standards, and best practices to support sustainable AI adoption across HR functions.
- Collaborate with global business leaders, technology teams, and external partners to deliver enterprise-wide outcomes across multiple regions.
- Degree-qualified in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related discipline.
- Proven experience delivering enterprise AI or digital transformation initiatives, including hands-on implementation of AI-driven business solutions.
- Strong expertise in large language models, knowledge retrieval frameworks, intelligent automation, predictive analytics, and solution architecture.
- Experience integrating AI capabilities with enterprise HR platforms, data ecosystems, and workforce management processes.
- Demonstrated ability to work with senior stakeholders, drive complex projects, and translate business objectives into measurable outcomes.
- Competitive compensation, benefits, and long-term career growth
- Opportunity to lead strategic AI transformation initiatives on a global scale.
- Collaborative international environment with opportunities to influence future operating models.
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