Gonzalo Covarrubias

About

Lead Product Analytics & Growth Analytics leader with 12+ years driving measurable revenue and retention outcomes through rigorous measurement, experimentation, and scalable analytics foundations across consumer and commercial products. Combines strategic partnership with hands-on SQL/Python execution to build trusted metrics, funnels/cohorts, and decision systems that scale. Strengths include end-to-end KPI/measurement, causal experimentation, BI/reporting systems, and stakeholder alignment across PM/Eng/Finance/Commercial.

Experience

• Fractional Decision Intelligence Lead (Logistics AI) · Desteia.com10-01-2025

  Built production-grade decision systems under enterprise constraints (noisy OCR, multi-source evidence, privacy limits), translating workflows into measurable automation and analytics outcomes. • Led end-to-end analytics for customer workflows: defined success metrics, instrumented core events, and shipped dashboards/readouts to track adoption, quality, and cycle-time impact. • Built an operations pricing simulator (Monte Carlo) to quantify risk/variance and support scenario planning and commercial decision-making. • Designed a streaming evidence-to-case matching workflow: structured identifier extraction, “claimlet” formation, gating + shortlist logic; reduced manual triage and improved processing consistency. • Delivered client-facing operational analytics (KPI design, exception analysis, root-cause deep dives) that drove process changes and improved execution quality. • Tech: Python, FAISS, Polars, LangGraph-style agents

• Processes Evolution Director / RAG & Semantic Retrieval Architect (Search & Product Analytics) · Truper10-01-2024 – 09-30-2025

  Search & Product Analytics (Measurement + Performance) • Delivered a measurement-driven search improvement program that reduced empty results by 65%, recovering 8M+ queries and $1.5M USD annual revenue impact. • Defined “trusted metrics” and monitoring for search performance (coverage, relevance proxies, failure modes), enabling weekly product reviews and faster iteration loops. • Built scalable evaluation datasets and drift signals to keep performance stable as catalog and behavior changed. • Established governance for metrics definitions, versioning, and operating cadence across Product/Engineering. Data Science Management & Strategy • Led cross-functional teams across e-commerce, pricing, and IT to operationalize search as API. • Built ML-driven segmentation for 28K clients (↑10% adoption, ↓40% delivery time). • Delivered a workforce sizing model with 98% accuracy, improving SLA compliance. • Tech: ONNX, FastAPI, Docker/Podman, Redis, BM25, FAISS, MLflow, TF-IDF, AWS, PyTorch

• Latam Head of Strategy, Planning & Analytics for Sales Operations · Uber Eats06-01-2022 – 04-30-2024

  • Automated detailed commercial reporting, scaling coverage from 8 to 70+ accounts with zero-touch pipelines; saved ~1 hr./week per account and enabling daily insight delivery. • Led funnel-style performance analysis for Ads/Offers initiatives (activation → spend → ROI → retention of spend), translating insights into prioritized playbooks for Sales and Growth partners. • Developed and scaled Ads/Offers ROI decision model (influencing ~5% of gross bookings), improving allocation efficiency by ~32% and campaign effectiveness by ~10%. • Built a LightGBM-based targeting model to prioritize accounts by expected incremental impact; operationalized into workflows to improve attainment (2x sales impact; exceeded targets by 9%). • Standardized deal desk measurement across 9 countries (inputs/outputs, guardrails, and performance reporting), improving negotiation speed and decision quality. • Launched a self-serve data-sharing layer for CPG partners, unlocking +$1M incremental investment. • Tech: Python, SQL (GCP), LightGBM, dashboard/reporting automation

• Head of Business Analytics, Marketing Excellence and Data · Sanofi06-01-2019 – 05-31-2022

  • Led analytics teams delivering advanced ML models for portfolio performance, price elasticity, anomaly detection, and forecasting. • Built enterprise single-source-of-truth ETL architecture with governance & automated quality controls. • Improved forecasting accuracy +17–25% across budget cycles and launches. • Redesigned global pricing methodologies via automated price recommendation engine, elasticity model, and market insights dashboard. • Built and deployed ML-driven pricing models covering elasticity, lifecycle-based price positioning, and revenue-impact simulations across multi-country portfolios (+6% revenue). Achieved 105% of Budget in 2020, recognized as a global top performer. • Implemented Life Cycle Management culture and developed automated KPI scorecard adopted in Global Finance & Performance reviews.

• Commercial Effectiveness Manager · Pfizer02-01-2012 – 05-31-2019

  • Led a commercial investment optimization program for 2+ years, achieving 45% efficiency gains and contributing $150M to net sales, driving 5% YoY growth. • Led end-to-end pricing management for Pfizer’s retail portfolio for 5+ years, optimizing hundreds of SKUs across lifecycle (launch, growth, maturity, LOE). • Automated investment tracking pipelines, reducing company debt by 300M MXN in 2 months. • Boosted trade campaign effectiveness by 23% through an AI-powered high-precision forecast model, resulting in an 8% increase in sales revenue. • Revamped the Pfizer Conmigo Loyalty Program, doubling patient enrollment and enhancing direct-client relationships without increasing investment. • Developed and implemented a strategic framework for managing Loss of Exclusivity (LOE) products, driving 15pp sales growth, reducing returns, and minimizing switching at the point of sale.

Education

• Instituto Tecnológico Autónomo de México (ITAM)MBA, MBA
• Instituto Tecnológico Autónomo de México (ITAM)Bachelor of Applied Science (BASc), Telematics Engineering
• CourseraCourse / Program, Decision Making and Reinforcement Learning
• Coursera (DeepLearning.AI)Course / Program, Generative Adversarial Networks (GANs) Specialization

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