AI Productivity Analyst

• Partner with functional leads in Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks
• Research, shortlist, and demo external GenAI & ML products that can automate or accelerate those workflows
• Design and run structured experiments (PoCs, A/B tests, pilot roll-outs) to quantify productivity impact and user adoption
• Develop and present ROI models, providing actionable recommendations to senior leadership
• Support implementation (including light configuration, prompt engineering, and user training) of selected solutions
• Track business unit KPIs and OKRs post-deployment
• iterate with partners and vendors to hit or exceed the 20% productivity target

• Bachelor’s degree in Computer Science or comparable technical degree, with a minor or demonstrated interest in Business Analytics, Data Science, (applied) AI, or related fields
• 1-2 years of experience
• Demonstrated hands-on fluency with GenAI tools (e.g., Gemini, ChatGPT, Claude, Grok, etc.) in personal or academic projects
• Solid understanding of AI technologies, machine learning concepts, and their applications in business settings
• Analytical mindset: able to design experiments, interpret metrics, and separate signals from noise
• Clear, concise communicator comfortable distilling technical findings for non-technical stakeholders
• Curiosity, bias for action, and ownership mentality in a fast-moving, ambiguous environment
• Solid foundation in Python or SQL
• familiarity with data-viz dashboards (Tableau, etc.)

experience with SaaS integrations (Zapier, APIs) or low-code automation platforms