Lucia Navarro, Product Manager in Buenos Aires, Argentina
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Lucia Navarro

Verified Expert  in Product Management

Product Manager

Buenos Aires, Argentina

Toptal member since October 22, 2024

Expertise
AI Product ManagementMonetization Product Management
Bio

Lucia is an experienced product manager who has led the development of multiple data-driven products in complex environments. She has a strong command of predictive modeling, analytics, API integrations, and data management practices, which enables her to translate intricate data into actionable insights. Lucia's strong leadership and ability to communicate effectively with cross-functional teams position her to drive initiatives that deliver tangible value in a global and dynamic setting.

Project Highlights

Onboarding Funnel Optimization for Talent Activation
Spearheaded the optimization of the onboarding funnel, leading to a 4.31% cost savings by reducing drop-offs.

Expertise

  • Artificial Intelligence (AI)
  • Data Analysis
  • New Products
  • Product Management
  • Product Strategy
  • SQL
  • Supply Chain
  • User Experience (UX)

Work Experience

Senior Product Manager

2020 - 2024
Toptal
  • Led the design and implementation of an AI-driven insights tool within a freelancing marketplace, resulting in a 7% increase in talent hiring conversion.
  • Spearheaded the overhaul of the internal human resources information system (HRIS) platform, enhancing organizational management and reducing operational bottlenecks.
  • Launched an innovative online assessment platform, from product vision to delivery, automating candidate evaluations and reducing operating costs by removing dependency on 3rd-party providers.
  • Orchestrated talent onboarding processes, streamlining operations to accommodate a 20% yearly growth in team size while maintaining stakeholder satisfaction.
  • Developed an SQL forecasting model to predict marketplace shortages, which led to resource optimization and overall platform performance improvement.

Product Manager

2017 - 2020
Elementum
  • Coordinated data ingestion and transformation initiatives as a platform product manager to enhance supply chain transparency and operational insight.
  • Led a data engineering team, successfully navigating complex data integrations (TMS, MRP, ERP, WMS) into a unified source of truth.
  • Employed Agile methodologies to facilitate onboarding new customers and rolling out novel features for a supply chain SaaS platform.

Senior Quality Analyst

2010 - 2016
S&P Global
  • Drove process analysis and quality control, implementing data-driven systems to enhance operational performance.
  • Designed new processes and workflows from the ground up, establishing efficient operational models.
  • Led and coordinated a team, overseeing daily task allocation, priority setting, and internal quality assurance efforts.

Project History

Onboarding Funnel Optimization for Talent Activation

Spearheaded the optimization of the onboarding funnel, leading to a 4.31% cost savings by reducing drop-offs.

I led the full funnel optimization from talent screening to activation in a highly complex project involving at least three operational teams, cross-functional coordination, and compliance risk. By addressing critical points in the onboarding process, I helped reduce drop-off rates by 4.31% and 5.28% in different flow stages. These optimizations saved significant resources and improved the user experience by streamlining the process. I also introduced additional automation outside the original scope, further minimizing manual effort and cutting operational costs. This optimization increased staff availability for higher-priority resources, improving activation time and quality.

Screening Insights for Client Conversion in a Freelancing Marketplace

Led the design of an enhanced screening insights feature, resulting in a 6% increase in interview scheduling and a 7% rise in hire conversions for clients who viewed the insights compared to a control group.

In a freelancing marketplace where clients need to trust talent before interviews, we identified a drop-off after sending talent profiles for review. To address this, I led the redesign of a screening insights feature, providing clients with a clear view of talent evaluations through a carousel of key insights and a revamped talent-specific insights panel. This helped clients make more informed decisions early in the process, ultimately increasing engagement.

The project carried risks of overwhelming clients with too much data or undermining trust in our internal vetting, but careful user testing helped mitigate these concerns. The result was a more confident client experience, leading to measurable improvements in interview scheduling and hires.

Candidate Assessment Platform

Launched an automated candidate assessment platform, reducing operating costs by reducing the need for 3rd-party providers.

I led the development and launch of an online candidate assessment platform, automating the evaluation process for prospective talent. The platform partially replaced the dependency on 3rd-party services, resulting in a reduction in operating costs.

My role involved working closely with engineering, data science, and UX teams to build a system that could seamlessly assess candidates' skills and provide real-time feedback. This project not only saved costs but also enhanced the speed and accuracy of our recruitment processes, contributing to the overall growth and efficiency of the talent network.

Education

2010 - 2016

Bachelor's Degree in Logistics and Supply Chain Management

Universidad Nacional de Lanús - Buenos Aires, Argentina

Skills

Tools

Jira, Confluence, Figma

Paradigms

Data Product Management

Industry Expertise

Logistics

Other

Miro, Google Sheets, Product Management, Data Analysis, SQL, Product Strategy, Data Quality, User Experience (UX), Business Requirements, Product Roadmaps, Pricing Strategy, User Feedback, Competitive Analysis, Data, Data-driven Dashboards, Dashboards, Documentation, Stakeholder Management, Google BigQuery, Supply Chain, Artificial Intelligence (AI), User Research, New Products, Generative Artificial Intelligence (GenAI), Technical Product Management, Vendor Selection, Business Models, Go-to-market Plans, Go-to-market Strategy, Market Fit, AI Product Management, Large Language Models (LLMs), Market Strategy and Research Product Manager, Competitive Intelligence, Data Strategy, Web App Development, SaaS, Operations, Process Flows, Financials, Onboarding, UX Design, Optimization, Supply Chain Management (SCM), Content Management Systems (CMS), Social Media, Market Entry, Monetization, Monetization Models, Pricing, Subscription Pricing, Mobile Apps, AI Chatbots, Natural Language Processing (NLP), iOS, Data Architecture, Data Management Platforms, Data Science, Startups, Database Optimization, Machine Learning, Scalability, Web & Mobile Applications

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