Join us to shape the future of artificial intelligence within a global organization. You will have the opportunity to lead impactful initiatives, mentor talented data scientists, and collaborate with diverse teams to deliver AI-powered solutions. We invest in cutting-edge tools and infrastructure, empowering you to accelerate innovation and drive measurable business results. Your expertise will help us build an AI-native operating environment and set new standards for responsible, scalable AI delivery.
As an AI & Data Science Vice President in the HR Data & Analytics team, you will lead the development and deployment of AI and machine learning solutions that transform workforce data into actionable insights. You will manage a portfolio of initiatives, mentor data scientists, and partner with stakeholders across business and technology functions to drive adoption of AI-powered capabilities. Your role will help shape the technical direction of our agenda and deliver measurable business impact within a regulated environment.
Job Responsibilities:
- Lead the design, development, and deployment of AI and machine learning solutions across workforce-focused products and initiatives
- Manage a portfolio of research and development efforts, ensuring alignment to business priorities and measurable outcomes
- Guide teams through the full research lifecycle, from problem framing and experimentation to production deployment
- Develop and enhance model factories, evaluation frameworks, and agentic AI capabilities to improve delivery efficiency and model performance
- Mentor and develop data scientists while fostering a culture of innovation, collaboration, and continuous learning
- Partner with business, product, and technology leaders to identify opportunities for AI-driven improvements
- Influence technical decisions and architecture for scalable, enterprise-grade AI and analytics platforms
- Promote reuse of methodologies, tools, and models across teams and adopt external solutions where appropriate
- Communicate complex technical concepts and business impacts to senior stakeholders
- Ensure compliance with all applicable risk, governance, and control standards
Required Qualifications, Capabilities, and Skills:
- Demonstrated experience leading projects, workstreams, or teams in a data science or AI environment
- Master’s degree or equivalent experience in a quantitative discipline
- Expertise applying modern AI and machine learning techniques to solve business problems at scale
- Experience with generative AI, large language models, agentic workflows, or advanced automation technologies
- Strong understanding of statistical analysis, experimentation, and model evaluation practices
- Experience delivering solutions in cross-functional, collaborative environments
- Strong communication, stakeholder management, and influencing skills
- Proven ability to drive execution across multiple priorities and deliver measurable business outcomes
Preferred Qualifications, Capabilities, and Skills:
- Experience managing or mentoring data scientists
- Experience building automated model-development or model-evaluation pipelines
- Experience delivering AI and machine learning solutions within a regulated environment
- Experience working with enterprise AI platforms and cloud-based analytics technologies
- Track record of driving adoption of analytics and AI solutions through strong stakeholder partnerships