Leading the data team at ProductSchool.com, the global leader in Product Management and AI training with a community of over one million product professionals. Our certificates are the most industry-recognized credentials by employers hiring product managers.- Developed data strategies: Designed and implemented data collection, storage, and analysis strategies to optimize the customer funnel, providing key insights to marketing and sales teams.- Managed data infrastructure: Oversaw the development and maintenance of data infrastructure in Google Cloud Platform, including databases, data pipelines, and visualizations, ensuring reliable and efficient data access for analysis and reporting.- Led data analysis projects: Conducted in-depth analysis of users engagement metrics using ML correlation and regression models to identify pivotal customer journeys and activities that directly contributed to sales.- Collaborated with cross-functional teams: Worked closely with product managers, engineers, and marketing, and sales to define data requirements, prioritize analytics initiatives, and integrate data-driven insights into product development processes.- Ensured data quality and governance: Established data quality standards, implemented data governance policies, and performed regular audits to maintain data accuracy, completeness, and security, reducing data errors by 37% and ensuring compliance with GDPR and other privacy regulations.- Provided data-driven recommendations: Presented actionable recommendations based on data analysis findings to the executive team guiding strategic decision-making and driving business growth objectives

Dunnhumby is a global leader in customer data science, empowering retail businesses with insights that drive meaningful customer experiences and sustainable growth. Developed and executed the product vision and strategy for Tesco Media and Insight Platform (Dunnhumby’s Sphere platform), pioneering the world's first omnichannel Retail Media Platform, driving revenue generation opportunities for retailers and brands alike.- Directed a diverse team of over 150 full-time employees distributed across regions, ensuring alignment with strategic objectives, fostering a collaborative environment, and driving consistent delivery.- Defined and implemented a robust multiservices architecture for the SaaS platform, enabling seamless integration of retail media campaigns across digital and physical channels, optimizing performance and enhancing scalability.- Built the commercialization framework for the platform to help other retailers to increase their monetization of media and customer data assets.

Leading the product vision, roadmap, and a team of 40+ people that is in charge of delivering Data Refinery, a data infrastructure, and analytics tool, that powers Dentsu's martech apps ecosystem which helps FT500 clients get the most out of their Marketing data. Highlights:- Launched Data Refinery at a global scale getting +50 clients.- Influence local leadership to adopt Data Refinery in their respecitve countries.Managing Datorama's (a Salesforce company) capability across 22 markets, with 4,500 users providing data services for 700+ clients. Standardizing analytics and operations practices to deliver innovative data projects and optimize Datorama's usage achieving millions in savings to Dentsu.

As product director for EMEA I lead the Regional Product Hub with the following responsibilities:· Define a clear and compelling Product strategy and a visible roadmap for Dentsu EMEA.· Lead the adoption of the Global Data Platform, and all the products based on it.· Oversee and manage regional platform operations, managing the technology delivery capability, implementing Martech tools like CRMs (Salesforce), CDPs (Segment, Salesforce) and marketing analytics tools (Datorama, Adverity, Funnel, Supermetrics). · New business and thought leadership support for Dentsu products in the region.

Discovery is a multi-cloud, auto-scalable and secure data platform for the enterprise, that provides self-service tools to allow data scientist, engineers, and analysts, to work effectively and collaboratively to extract the value from their company’s data by big data techniques.As head of product strategy my responsibilities are: · Lead the Discovery's vision.· Technology evaluation to power the platform. Build partnership with 3rd party applications like Adverity.· Work with product management and engineering to drive development and ensure timely delivery of the product, following an Agile methodology.· Lead product marketing and marketing communications efforts including product launch, presentations, going to market strategy, sales tools, and crafting the story about Discovery platform that resonate with technology leaders.

My main purpose was to boost the data visualization and analytics capability at DAN on a global scale. One of my key responsibilities was to standardize how the different agencies of the group communicate their insights with the clients to show the value we achieved for them. I worked with the team to define the reporting and data visualization framework to improve the analytics adoption in all the markets, leading also local deployments by with senior stakeholders to help them to improve their data commercial offer. Finally, I also coordinated the data visualization community across the DAN network with more than 200 senior leaders.

In less than a year I led the data transformation for an agency in a traditional sector like OOH. Thanks to the innovation framework I developed to extract value from geolocated data, we created data products which allowed the company to win more clients and also be perceived as the most innovative one among the OOH agencies. Thanks to the partnerships I negotiated and the team I led, the data product was able to use real-time data from social networks, programmatic campaigns, weather, and bank transactions to analyze where was the clients’ audience. Also, my team created a tracking mobile app to evaluate promoters’ performance.

I led the hotels performance in metasearchers (Trivago, TripAdvisor, Skyscanner, Kayak, etc) for all brands and countries of the Lastminute group. I was responsible for different tasks:· Define the channel strategy for traffic acquisition. · Analyze and optimize the daily performance of more than 200.000 hotels per metasearch and country. · Develop algorithms in R language for improving the CPC metasearchers results and forecast.· Create the reporting process and dashboards.

Fever delivers a curated list of the most exciting events, things to do and to see in Madrid, Barcelona, London and New York City tailored for you.Responsibilities:· Create and manage the business intelligence department composed of four sections: Product, Operations & Marketing, Board of directors and investors, and Acquisition.· Product analysis: design the strategy for measuring the user behavior in the app and define the integration of the analytical tools like Mixpanel, Appsflyer and Flurry.· BoD analysis: analyze the main KPIs for presenting them to investors and improve the user acquisition (CAC, MAU, LTV and Cohort analysis).· Operations & MK: I create the reporting structure through ETL procedures which I had developed. · Acquisition: I led the user acquisition by using Facebook & Twitter Ads with a monthly user increment of 60%

Trustparency gave the opportunity to the people to follow the stories behind each charity project from the beginning to the end and know the social impact achieved with their donations and support. Mobile app: https://www.youtube.com/watch?v=v98ivcSLrCEResponsibilities:- Define and measure the main KPIs. CAC, LTV, MAU, Cohorts analysis.- Acquisition and growth hacking strategy.- Product design.- Definition and implementation of the back-end (web & mobile).

My job was to analyze the information collected by the field sales team in order to report it. Apart from that, I collaborated in improving the process of handling the information given, which is key in order to reduce the time spent in analyzing it.

I worked on Business Decision Support department in Coca Cola Company Iberian division. My daily task was to search the information which was key for analyzing the company sales.

Web application developer in java.