• Identify high-impact AI use cases across client delivery, internal operations, and go-to-market • Rapidly prototype AI-powered solutions using available tools and custom approaches • Direct and refine AI tools (prompt engineering, automation workflows, lightweight scripting) • Maintain a prioritized AI roadmap balancing speed-to-impact against long-term strategic value • Evaluate AI tools in the market and assess when to leverage existing platforms vs. build internally • Create clear recommendations for leadership with cost implications • Track and report on AI platform costs, API usage, and total cost of ownership • Work with internal stakeholders to identify data sources and opportunities for AI leverage • Help organize and prepare data for AI-driven use cases • Partner with consultants and functional leaders to translate real-world business needs into AI-enabled solutions • Establish and enforce data governance guardrails: what data can and cannot be used in AI tools, PII handling, and confidentiality protocols • Drive user adoption through hands-on training, documentation, and workflow embedding • Identify and cultivate AI champions within each functional area • Run regular demos and share progress with senior leadership • Track adoption metrics and iterate on tools based on user feedback • Evaluate, trial, and manage relationships with AI tool vendors • Own the AI tools budget: track spend, forecast costs, and ensure ROI justifies investment • Negotiate licenses and manage renewals for AI platforms • Move quickly from concept to test • Embrace context switching as priorities evolve • Iterate rapidly when ideas don’t land as expected

• Data collection, evaluation, and annotation. • Pairwise comparisons. • Counting tasks. • Object tagging and labeling across different content types (audio, video, images, or collected data)

• Develop impactful marketing initiatives to enable our mission of making the world healthier, cleaner and safer • Support AI-driven search initiatives by developing AI-ready content • Perform technical and on-page SEO checks • Use analytics to identify optimization opportunities and measure performance • Collaborate closely with cross-functional teams to improve search and AI visibility

• Accelerate customer time-to-value by ensuring rapid adoption and operational excellence for AI solutions. • Act as a strategic partner to department leaders within the company and external clients as needed, mapping AI capabilities to business goals, identifying new use cases, and driving expansion. • Lead the end-to-end onboarding process, including scoping, technical setup, and training, to ensure successful deployment. • Track and analyze key AI usage metrics, such as model performance, adoption rates, and ROI, to inform optimization strategies. • Guide clients through the organizational changes required for AI adoption, focusing on training and cultural alignment. • Act as a liaison between the clients/departments and the AI product/engineering teams to resolve technical issues and advocate for product enhancements. • Proactively identify potential bottlenecks, ethical concerns, or security risks in AI deployment. • Manage and lead a small team of Machine Learning Engineers.