- MX Data Strategy implementation involving Tech, Internal Control, Domains (Business) defining the Policies and procedures where Data Quality (lineage, data dictionaries, business rules & metrics) were necessary for the Data Governance compliance; I defined the data structure and data taxonomy for the data migration to Google Cloud Platform to guarantee the Data is fit for use (accurate, available, data integrity and data consumption). - Start building a team structure oriented to create value with the data using Data Science Models to provide the Data Monetization to the Bank in conjunction with the Data Engineering team considering the CNBV & Banxico local regulations provided by the Compliance local. Data Executive Council implementation to gather the recommendations that allow formalizing the innovation in Data Governance based on the company's knowledge for the strategic decision-making. Reduced operating costs and improve efficiency by adopting & AI technologies.

- Led complex analytical deep dives to identify business trends and performance drivers, delivering insights to senior leadership and communicated the achievements though the Data Council and SteerCo Committees. - Partnered with cross-functional teams (Analytics, Data Science, Data Engineering, Finance, Operations) to translate business requirements into structured data specifications and technical user stories through ML Models. - Integrated new tools and AI-based automation to improve monitoring, increase efficiency, and enhance overall system reliability to optimize production models. The KPIs & KRIs were key on the performance measuredness. - Designed and structured end-to-end conversational AI systems—such as chatbots, voice assistants, and intelligent agents—by applying advanced natural language processing (NLP) techniques and large language models (LLMs).

- Designed & implemented the data strategy with a coordination with the CISO, Risks, Internal Control and Tech Team where cost reduction was a must by implementing a cloud solution with AI Capabilities that evolved the Company in terms of innovation but taking care of the Governance, Data Quality, Data Protection and Data Privacy and AI frameworks, Policies and standards. Started the data monetization through models on specific products.

- Monitored key performance indicators (KPIs) and generated data-driven insights to ensure the accuracy, consistency, and integrity of data consumed with the strategic vision to facilitate the executive-level decision-making. - Data Models definition and implementation where using Machine Learning, this achievement helped the organization to start with the monetization through the Data as a key active. Helping ensure compliance with Data Protection regulations. - I implemented the Data Remediation Program: Data Certification, EUC Automation, ETLs maintenance (SAS and ABInitio), Data Ingestion to Data Lake and BI tools such as Tableau, and Campaigns for data monetization with ML. - Managed technology vendors, negotiating contracts for AI solutions, and overseeing budgets for data science and machine learning projects.

- Design agile, AI and value Business proposals and strategies for Finance, IT and FinTech Customers, based on cost reduction / revenue increase through effective applications of digital enabled solutions based on Design Thinking. RFPs, RFIs & RFQ were key for client’s management with Artificial Intelligence as core of the operations. - Designed and architected modern data platforms / CDP’s, analytics, and AI solutions, ensuring scalability, repeatability, and business value – Architectures considered Cloud platforms such as GCP, Microsoft Azure & AWS.

- Define and enforce data quality rules, metrics, and processes to improve data accuracy and consistency. Conduct data profiling and audits to identify anomalies and inconsistencies. Metadata Management & Data Cataloging. - Envision, Create, Maintain and Enhance enterprise data dictionaries, data lineage, and metadata repositories. - Architected and oversaw data validation, quality measurement, and mass upload processes using structured templates and automation tools. Developed scalable dashboards and analytics solutions using Power BI & Tableau. - Analyzed local market dynamics and translated findings into actionable insights by evaluating customer behavior, product performance, and key financial indicators. - Ability to translate business needs into analytical solutions and also to identify relevant KPIs and build impact measurement models. Analyze large datasets to identify trends, patterns, and actionable insights.

- Understood business processes, participated in data analysis tasks, assisted on identifying root causes for short, medium, and long-term data fluctuations, and describe trends. Build and maintain impactful business dashboards.