Applied AI ML Lead

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