Leading all dimensions that transform data into products, services and AI systemsincluding: Data Strategy, Data Engineering & Platform, AI/ML, Decision Science,Experimentation, Data Governance. Built 4 sub-functions:1. Platform Engineering & Data Architecture: In charge of building data products andservices, transformation layers, datalakehouse, data pipelines, APIs andenabling use cases from the engineering and platform perspective.2. Financial Products - AI: Creating our decision engine to assesscreditworthiness for multiple financial products. Training our first creditscoring models based on novel feature engineering and exotic data.3. Customization - AI: Leading our strategy to create novel hyper-personalized experiences forour clients based on a single 360 client view. Leading personalization,CLV based next best action engines and our Customer Data Platform.4. Decision Science & Governance: In charge of transforming and using datato support our decision making process through KPIs, dashboards,aggregated and augmented data. Also, in charge of governing all our datathrough Azure Purview and Databricks Unity Catalog.As a co-founder I have been co-leading the design of our overall strategy, valueproposition, brand, recruiting process, culture, milestone roadmap, etc.

Leading advanced analytics, business intelligence and automation functions. In charge of transforming vast amounts of UberEats data into analytical assets that are relevant for the day-to-day operation.Focused on: 1) optimizing investments in acquisition, engagement and retention levers (e.g. promo, paid) through supervised (e.g. churn scoring) and unsupervised machine learning models (e.g. Eater segmentation); 2) balancing supply and demand through predictive modeling; 3) centralizing business intelligence assets; 4) scaling processes in the eater, courier and restaurant verticals through automation; 5) monetizing insights.Leading the enhancement of the Performance Marketing function for Latam through new models and processes that aim at maximizing ROI's in paid marketing channels.

Built a 10 people team from scratch with three main functions: advanced analytics (machine learning & experimentation), business intelligence (dashboards, query bank, insight generation) and process automation.Served as interim Head of Eater Operations focused on growing, engaging and retaining our Eater base. Also served as interim Head of Risk focused on diminishing fraud in our marketplace.Led several initiatives to improve career development, stress management and recruiting in the broader Regional Ops team.

Led McKinsey's research and analytic capabilities in the Spanish Latam region. Built new client service capabilities in research, knowledge management and advanced analytics; providing strategic and operational oversight to over 20 professionals across the region.Served clients in the region through:-Launching and scaling the Advanced Analytics Center of Excellence which included Data Scientists, Data Engineers and UI/UX professionals.-Deploying Advanced Analytics professionals to generate solutions on churn management, collections, segmentation, credit scoring, etc.-Acting as an analytics translator by transforming business problems into analytics problems (machine learning, experimentation, etc.).-Counseling clients on how to launch, build and scale their own analytics centers of excellence.

Responsible for transforming the Spanish Latam research team from 3 people doing general research into a 10+ people team delivering advanced expertise across several industries: Consumer Goods, Financial Institutions, Energy & Materials and Public Sector.In charge of people development, sta ffing, evaluation, hiring and compensation.

Responsible for delivering specialized research & analytics for Consumer Goods clients in various topics including: pricing, route-to-market, consumer sentiment, digital transformation & omni-channel, revenue growth management, growth strategy, etc.Led various e fforts that involved doing in-depth market and category assessments to uncover growth opportunities for CPG’s.

Main responsibilities:Provide comprehensive research and analytic services to partners and consulting teams:• Prepare accurate, well developed documents, databases, models, and charts to present findings.• Conduct moderately complex financial analyses and calculations.• Determine most appropriate, cost-effective and timely research & analytics approach. Collect, summarize, analyze and synthesize relevant data and information.• Work with consultants to scope and prioritize knowledge needs, including identifying the most appropriate service channels.•Serve as coach to more junior colleagues.Main achievements:• Conducted industry analysis on growth and business unit strategy for consumer goods and retail clients.• Core member of a knowledge investment project to understand the Mexican consumer habits after the economic crisis. In charge of survey design and database production.• Developed 8 Practice documents related to fast-moving consumer goods and retail overviews in Latin America.

Main responsibilitiesProvide research and analytic services to consulting teams:• Clarify request objectives and determine most appropriate, cost-effective, and timely research analytics approach.• Gather raw information from relevant, qualified resources.• Conduct standard financial analyses and calculations.• Organize, analyze, and synthesize facts into accurate, well developed documents, databases, models, and charts.Main achievementsCompleted 500+ research requests and published 2 Practice documents on grocery retail in Mexico.

Led Business Intelligence for the VP of Operations. Provided on-demand dashboards for ops decision making and results reporting for the CEO. Led the annual budgeting process for 35+ properties in operation.

Conducted research and modeling on how Information Technology investments accelerate economic growth in emerging markets.

Conducted a due diligence on 200+ real estate contracts for a developer requesting new credit tranches for future developments.