Maximiliano Díaz

Serve as the forefront of driving technology, innovation, and transformational change within the organization while fostering a data-driven culture. Play a mission-critical role of data self-service and AI-driven insights to boost decision-making. Engage with cross-functional teams to enhance strategic initiatives and long-term targets. Key Achievements: ➤ Strategic Data Leadership: Defined and implemented a multi-year data strategy, enabling persona-based self-service across the organization with curated data sets. ➤ Data Governance Framework: Developed and implemented a comprehensive Data Governance framework, focusing on Data Observability, Data Quality Indicators (DQI), proactive monitoring, and issues remediation. ➤ Innovative Product Development: Led the design and launch of a unified data product that consolidates Data Solutions, Data Observability, Self-Service capabilities, and DQI, providing a single interface for users, powered by a unified semantic layer. ➤ Legacy System Integration: Successfully migrated over ten years of Tableau development into the new platform, including training initiatives and a go-to-market strategy. ➤ Advanced Cognitive Services: Enabled the organization with Machine Learning by automating manual data science processes in the cloud, significantly reducing process times from days to hours. ➤ GAI Copilot Integration and Experimentation: Championed the integration and experimental use of GAI Copilot, enhancing data workflows with significant efficiency improvements. Key initiatives included securing necessary approvals, implementing a tiered persona-based usage approach, conducting extensive testing for accuracy and relevance across different user profiles, and promoting optimized, certified prompts. This resulted in a dramatic reduction in analysis time from hours to minutes, demonstrating substantial gains in productivity and decision-making speed.

Spearheaded the transformation of Enterprise Analytics and Business Systems for a $2B company operating in 25+ countries with 65K employees. Led platform rationalization efforts to streamline operations, enhanced capabilities through AI and Machine Learning, and drove revenue growth and cost efficiencies by developing AI-driven insights for internal and external consumption. Key Achievements: ➤ Business Strategy: Budget/P&L owner of +$M operational budget and +$MM in capital budget. ➤ Data Engineering and Analytics: Migrating hybrid environment (Microsoft Azure and on-premises) to a full GCP cloud-native architecture (Google Cloud Platform). ➤ Enabling best-in-class computing engines (Big Query). ➤ Leveraging enterprise data lake architecture combining Big Query and Cloud Storage. ➤ Platform is fully governed by the Data Governance team. ➤ Leads the data strategy and data governance initiatives. ➤ Upgrading the user experience by integrating Looker (Visualization tool) to the stack. ➤ Enabling the company with near-time data using cutting-edge and full cloud technology. ➤ Embedding Machine Learning algorithms in Big Query to create a closed loop between operational data and insights for the organization. ➤ Led the design/implementation of TTEC Insights platform developed in Microsoft Azure with core algorithms and standard data models. Modules included Sentiment Analysis, Satisfaction and Dissatisfaction Drivers, CLV (Client Lifetime Value), Next Best Offer and Next Best Action (Recommendation Systems), Customer Churn, and Customer Segmentation.

Modernized the Enterprise Data Platform for this $2B company. Key Achievements: ➤ Business Strategy: Budget/P&L owner of +$MM operational and capital budget. ➤ Data Engineering and Analytics: Consolidated multiple Business Intelligence solutions to an innovative technology omnichannel data lake/warehouse to enable end-to-end analytics capabilities using MS Azure, Talend, and SQL Server. Improved data readiness time by 70%. ➤ Implemented analytical solutions: Included speech-to-text processing, sentiment analysis, next best action/offer, churn prediction, attrition prediction/avoidance, client satisfaction/dissatisfaction drivers, and branding temperature. ➤ Democratized data access via “Self-Service” capability in Microsoft technology (SSAS, Tabular Models, and Excel) that will enable 5,000+ power users and 15,000+ data subscribers. ➤ Insights Platform: Helped to design/implement TTEC Insights platform developed in MS AZURE that contained core algorithms and standard data models. ➤ Data Governance: Responsible for Metadata Management, Enterprise Data Modeling, Security, Data Storage, Analytics, Business Intelligence, Business Systems Support, and Management. ➤ COVID: Adjusted systems to allow for moving 80% of people to work from home within 3 weeks. ➤ Cloud Migrations: Migrated from On-Premises Hyperion to Hyperion cloud (EPBCS). Oversaw activities of the ERP 12.1.3 to Fusion. ➤ Workforce Strategy: Created two new Global Development Centers with ~200 total between Philippines and India. Transitioned Cognizant remote workforce to the Philippines and India; saved $MM in annualized Opex costs. ➤ Operations Optimization: Standardized and decreased payroll vendors from 10+ to 3 ➤ Mergers & Acquisitions: Strategized data and platform integration activities for 3 M&As (one was the largest in TTEC history.

Relocated from Argentina to consolidate and manage the Data Warehousing and Business Intelligence teams, previously managed by 2 Directors in the headquarter office. Key Achievements: ➤ Developed department strategy, prioritized development activities based on business impact, ROI, and resource availability, and oversaw day-to-day tactical operations. ➤ Consolidated 7 BI tools in a single platform (Microsoft Business Intelligence); saved in annualized Opex costs. ➤ Led a distributed team of 60+ IT resources focused on Data Delivery, Analytics, and BI solutions. ➤ Led Data Governance, Metadata Management, Enterprise Data Modeling, Security, Data Storage, Analytics, and BI. ➤ Served as the Executive sponsor for Data related initiatives (Analytics / Data Science / Machine Learning / BI). ➤ Completed Automation activities that saved ~30,000 hours. ➤ Implemented data solutions that improved executive visibility, program productivity, revenue leakage, and margin; margin increased up to 6% and reduced overall operational attrition by 2%. ➤ Implemented the EAW (Early Warning Attrition suite) that combined a predictive model and recommended activities to save top performers; reduced overall operational attrition by 2%. ➤ Drove data integration tasks for 2 M&A activities. ➤ Transitioned Argentina remote workforce to Globant ➤ Transitioned Globant remote workforce to Cognizant ➤ Launched first version of the Performance Management tool in the “Software as a Service” model that was sold to two clients in the U.S.

➤ Developed (with team) a $3M Global development Center in Argentina; increased employees from 10 to ~300. ➤ Built and developed the Business Intelligence practice in Argentina; created SME per technology/business area. ➤ Implemented the Global Performance Management System that served 40K employees around the world; saved in annualized commissions while improving the overall performance. ➤ Implemented the global ITSM to drive chargeback activities.

Grew BI developers from 2-12, Built Performance Management Implementations and Support Team from 0-15 in Argentina. Led team to deploy the first compensation program for 25,000 agents.

One of the first to run the BI team in Argentina working toward initial growth of the department.

Implemented data solutions for Fortune 500 companies: Coca-Cola, JP Morgan, Chase, ING Bank, Assurant, etc.

- Competitive Advantage and Profitability - Strategic Positioning in Markets - The Strategy of Mergers and Acquisitions - Managing Supply Chain Threats and Opportunities - The Application of Game Theory to Business Strategy - Strategic and Tactical Pricing

Courses: - Developing an agenda for change - Mapping the political terrain of allies and resistors - Negotiating support and buy-in for your agenda - Mobilizing the coalition for action - Leading through creativity - Executive decision making