• Lead cross-team initiatives requiring data science expertise, driving alignment between Engineering, Product, Customer Success, and Data teams • Participate actively in discussions with Product Management, shaping what we build and why based on data insights and technical feasibility • Build and maintain trust with Customer Organization through clear communication of DS capabilities, limitations, and roadmap • Present complex technical work to executive leadership and non-technical stakeholders in ways that drive strategic decisions • Own the data science roadmap and its evolution in partnership with VP Data, DS Leads, and Product leadership • Set clear expectations and clearly communicate project statuses to stakeholders throughout the company • Foster a culture of continuous learning through mentorship of junior data scientists and sharing of best practices • Design, prototype, and productionize machine learning models to optimize procurement processes • Build and deploy AI systems into the procurement workflow, including robust eval frameworks • Collaborate with Data Engineers on ML infrastructure, pipelines, and operations to support model training and deployment • Define and evolve Data Science processes and practices • Keep a startup mindset: ship early and collect feedback sooner than later • Stay up-to-date (and keep the team up to date) on latest techniques and tools in ML & AI