San Mateo, CA30+ days ago
Own end‑to‑end program lifecycle including discovery & baselining (time‑in‑motion studies, process mining, data quality assessment, ticket/call analysis, funnel analysis), design (future‑state processes, automation scope, target KPIs, and P&L impact), build & integrate (orchestrate vendors and internal teams across workflow tools, RPA, APIs, data platforms, LLM stacks, and existing SaaS applications), pilot & scale (structured pilots with A/B metrics; industrialize successful use cases across regions, customers, and products) while ensuring programs move material portions of work from human to machine (for example, increasing automation coverage from <20% to >60% of target transaction volumes without degrading CX). Deal team partnership and diligence – Participate in pre‑deal operational diligence, with specific focus on automation potential and AI readiness of core processes, quantifying AI and automation value creation cases (e.g., “$3–5M annual EBITDA uplift via 40% automation of Tier 1 support within 18 months”) and defend assumptions with management and IC and recommend critical leadership or org changes post‑close.