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.

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