Alejandro Tavella

20+ 𝑦𝑒𝑎𝑟𝑠 𝑜𝑓 𝑒𝑥𝑝𝑒𝑟𝑖𝑒𝑛𝑐𝑒 𝑖𝑛 𝐵𝑢𝑠𝑖𝑛𝑒𝑠𝑠 𝑎𝑛𝑑 𝐷𝑎𝑡𝑎 𝐼𝑛𝑡𝑒𝑔𝑟𝑎𝑡𝑖𝑜𝑛 𝑖𝑛𝑡𝑒𝑟𝑛𝑎𝑡𝑖𝑜𝑛𝑎𝑙 𝑝𝑟𝑜𝑗𝑒𝑐𝑡𝑠 𝑓𝑜𝑟 𝑡𝑜𝑝 𝑐𝑜𝑚𝑝𝑎𝑛𝑖𝑒𝑠 𝑖𝑛 𝑚𝑎𝑛𝑦 𝑖𝑛𝑑𝑢𝑠𝑡𝑟𝑖𝑒𝑠 𝑤𝑖𝑡ℎ 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠 𝑓𝑟𝑜𝑚 𝑎𝑙𝑙 𝑜𝑣𝑒𝑟 𝑡ℎ𝑒 𝑤𝑜𝑟𝑙𝑑, 𝑝𝑙𝑎𝑦𝑖𝑛𝑔 𝑙𝑒𝑎𝑑𝑖𝑛𝑔, 𝑓𝑢𝑛𝑐𝑡𝑖𝑜𝑛𝑎𝑙 𝑎𝑛𝑑 𝑡𝑒𝑐ℎ𝑛𝑖𝑐𝑎𝑙 𝑟𝑜𝑙𝑒𝑠 ℎ𝑎𝑣𝑖𝑛𝑔 𝑏𝑒𝑒𝑛 𝑖𝑛𝑣𝑜𝑙𝑣𝑒𝑑 𝑖𝑛 𝑎𝑙𝑙 𝑝ℎ𝑎𝑠𝑒𝑠 𝑜𝑓 𝑎 𝐷𝑎𝑡𝑎 𝑀𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡 𝑝𝑟𝑜𝑗𝑒𝑐𝑡 𝑐𝑦𝑐𝑙𝑒 𝑢𝑛𝑑𝑒𝑟 𝑣𝑎𝑟𝑖𝑜𝑢𝑠 𝑝𝑟𝑜𝑗𝑒𝑐𝑡 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡 𝑚𝑒𝑡ℎ𝑜𝑑𝑜𝑙𝑜𝑔𝑖𝑒𝑠.
𝐏𝐑𝐎𝐅𝐄𝐒𝐒𝐈𝐎𝐍𝐀𝐋 𝐒𝐔𝐌𝐌𝐀𝐑𝐘 𝐎𝐅 𝐐𝐔𝐀𝐋𝐈𝐅𝐈𝐂𝐀𝐓𝐈𝐎𝐍𝐒
• Data Management Executive Leadership 
• Leadership & Team Management 
• Data Strategy Planning and Execution
• Business Intelligence | Analytics | Integration 
• Data Integration | Migration Strategy 
• Organizational Leadership 
• Technology Strategy | Architecture | Integration 
• Artificial Intelligence | Machine Learning 
• Data Engineering | Architecture 
• Onshore | Offshore Software Development 
• Global BI | IT Governance | Framework 
• Data Warehouse | ETL | Automation
• PMO Strategy | Project Management 
• Cloud Technologies (IaaS PaaS SaaS) 
• Waterfall | Agile Methodologies
• Certified Scrum Master

COLLECTIVE[I]                                                                                                                                            02/2015-Present

Director of Business Integration | 09/2020-Present

• Champion the success of the high-performing multi-national technology, architecture, and delivery organization executing the business integration strategy, including Enterprise Application Integration, SOA, ERP, BI, MDM, and custom software solutions offerings.
• Manage a $2M budget leading a global team of 14, including 2 Data Engineering Managers, Senior Data Engineers, and Mid-Level Big Data Engineers located in the US, Canada, Poland, Turkey, India, and Argentina to bring expertise in advanced data engineering, data governance and quality implementation, data/solution architecture and data management operations.

•  Oversee the delivery of a leading AI-driven collaborative B2B Sales Network Intelligence and Analytics platform to provide prescriptive forecasting, revenue operations, sales forecasting, and sales pipeline management optimizing data analysis, reporting, insights, and modeling to maximize the client’s revenue growth.
• Responsible for defining the data solutions to support the digital strategy and initiatives in support of Business Integration, Enterprise Information Management, Business Analytics, Customers Onboarding, Data Governance, and Data Strategy.
• Lead the data ingestion, transformation, and load for ~1K+ customers throughout the Healthcare, Insurance, Information Technology, and Human Resources verticals, along with providing internal monitoring and analytic dashboards consumed by various internal teams
• Perform research and develop tools and data assets to support AI/ML solutions in collaboration with data scientists and analysts to implement and feed the AI/ML projects. 
• Collaborate with client stakeholders to define, create, and manage analysis and metrics to drive continual improvement opportunities in business and data integration solutions. 
• Coordinate and manage the workflow of User Story consumption, assignment, authorship, review, development, code review, and defect-fixing activities across Sprints.
• Play a lead role in achieving considerable savings in working hours by identifying and decommissioning redundant and low-value data assets speeding up migration cross-environments, processes, backups, and facilitating documentation and data governance. 
• Work with business stakeholders across the organization, including Executive Leadership, Data Science, Client Success, Applications, and Marketing, to understand their current technology, existing processes, revenue leakages, pain points, and business objectives.
• Own and manage data governance and quality implementation teams and activities; oversee partnerships with Techops and Security teams, delivering data catalogs for critical data elements and providing quality tools and reports.

Additional Achievements

• Led the network growth project involving 10x growth of hundreds of millions of contacts, millions of companies, and respective person-to-person, person-to-company, and company-to-company relationships and activities validated by billions of raw source records.
• Oversaw the team responsible for building scalable data integration processes on Spark Scala, refactoring inherited Oozie workflows levering HQLs, achieving audacious data readiness OKRs and SLAs improving perception and user experience by the company s customers. 
• Spearheaded design and completion of an Issues Management tool leveraging data automatically integrated via JIRA API with Grafana dashboards enabling reporting and filter features over JIRA issues facilitating time management.
• Managed the implementation of a generic Activity Enrichment and Mining Framework, automatically linking activities to customers' sales processes and entities irrespective of the type of source activities, saving thousands of working hours while growing the network by 40x.
• Saved human resources and company investment in seeking the right talent by finding and partnering with an external HR firm from Poland, providing highly skilled resources not available in the internal market for the same cost.
• Spearheaded the implementation of a comprehensive Performance framework providing full visibility around all applications performance to identify required refactoring facilitating Cloudera's Hadoop cluster resources management tasks reducing operational costs by 2x.
• Designed and led the implementation of a Time Management framework providing automated reporting leveraging Zoom and calendar APIs to increase visibility around employee’s time allocation, disruption, and money spent on meetings for time management planning. 
• Provided an alternative automated solution to Sales and Marketing identifying new, recurrent, internal, and external attendees to their meetings along with most and less popular topics saving hundreds of hours of their time and money previously invested on harvesting data weekly on the events making planning easier.

Data Engineering Manager | 02/2015-09/2020

• Responsible for defining and driving data strategies for a disruptive digital business platform delivering fully integrated services managing the Data and Technology engineering teams, part of an effort to build one of the largest AI-driven collaborative platform for sales organizations.

• Led a team of 5 Data Engineers located in the US and India, building and scaling the data pipeline and guided the application team to build feeds, insights, and analytics supporting ~500 enterprise and individual tenancies in real time to support the company’s growth.
• Responsible for data management and building the data platform to harness massive data to predict sales outcomes and prescribe actions to drive successful results.
• Provided data integration solutions enabling predictive analytics and data science solutions for sales process optimization and sales performance monitoring.
• Defined the technical roadmap for building the platform and SaaS Application suite, developed a multi-tenant, multi-user SaaS Data Integration Solution Feeding Data Science and Business Intelligence teams for Predictive and Prescriptive Analytics.
• Architected and constructed digital Analytics optimal solutions with available technologies in Data Management, Big Data to improve customer positioning with cost-effectiveness ahead of the intersection of Data Science, business, and technology framework.
• Identified areas of the new automation, data integration, reporting, and monitoring applications for corporate growth in driving the company’s mission for new insights and analytics capabilities supporting decision-making and improving customer experience. 
• Conquered data quality issues by building the loop between Analytics, Data Engineering, and Data Science teams, creating tools, and developing data-quality-centric OKRs, resulting in customer retention successes for a personalized recommendation engine.
• Introduced transformational capabilities leveraging Data Enrichment, Data Cleansing, Master Data Management, Data Archival, and Data Strategy
• Developed partnerships to build elasticity in the organization to ensure fast-paced delivery.
• Implemented an Enterprise Data Strategy to drive increased Business Value enabling a collaborative forum to run sustainable operational data governance and improving visibility around data assets and data flow, saving months and effort around technical designs and end-to-end impact assessment around structures/data flow changes and new features. 
• Designed and managed implementation of a Data Privacy framework involving PII Masking and prevention of inaccurate data at tenant's source systems, jeopardizing data privacy. 
• Delivered Data Ingestion framework implemented on Spring Cloud leveraging REST APIs to extract data from various CRMs, email systems, telephony, contract management, videoconferencing, marketing, helpdesk, and other source systems on Premise and on Cloud, enabling Artificial Intelligence, Data Mining, Data Analytics, and Reporting applications along with building the proprietary network model to support an ever-growing number of features and insights to deliver value to customers.
• Introduced Apache Spark technology for large-scale data processing to improve scalability positioning.
• Initially hired as a contractor, eventually converted into a full-time employee in October 2018.

SAP                                                                                                                                                              03/2011-02/2015

Senior Consultant - EMEA Enterprise Information Management Business Integration 

• Responsible for acting as a Data Integration Subject Matter Expert of overall architecture design, establishing extract capability and profiling/analysis of data, including Data Governance, Data Quality, Master Data Management, and Data Conversions for clients across Information Technology, Retail, Government, Security Services, Mining, Automobile, Steel, Finance/Banking, and Education verticals.
• Led Data Migration projects involving all functional design, technical design, and data migration to a unique consolidated SAP target system from various and heterogeneous sources to cope with functional requirements for different releases. 
• Assisted clients in organizing migration plans to integrate data across SAP systems, and S/4 HANA facilitating overall enablement of data validation, defect resolution, and removal of barriers for developers with issue resolution. 
• Served as a link between Functional and Technical Leads in different projects by coordinating and supporting offshore and onshore developers on various projects and providing support to functional design teams.
• Implemented extraction from heterogeneous source systems, including transformation, cleansing, enrichment, de-duplication, load, and reconciliation to SAP target systems for various work streams, using SAP Data Services 4.1 and Best Practices for Data Migration extended and improved to cope with business needs.
• Provided on-site consulting support for implementing Enterprise Information Management

Software (SAP Data Services, SAP Information Steward). 

• Performed data analysis (address cleansing, match/consolidate, consumer/corporate house-holding, data de-duplication) on client environments with SAP Information Steward. 
• For various customers, partners, and internal users, conducted SAP Data Services and SAP Information Steward product training and instructed users on incorporating data quality strategies to eliminate poor data quality and significantly reduce costs.   
• Collaborated on building Best Practices and Rapid Migration Services Templates to accelerate and automate data migration enabling this feature as a service feasible to be sold.
• Executed an SAP data migration project for a retail organization writing Technical Specifications, leading mapping workshops to understand requirements, and working with business data owners to ensure data was understood, cleansed, and signed off. 
• Championed the data strategy implementation at a top state Education Institution to track and assess credit status and credit owners' situation.
• Provided SAP Data Integration for a security firm to capture events related to incidents triggering alarm system usage and load them into the data warehouse for analysis 

ZURICH FINANCIAL SERVICES                                                                                                                    09/2008-03/2011

Business Intelligence Analyst

• Analyzed business requirements and worked closely with application and business teams to develop consistent ETL processes across all systems, applying expertise in Informatica ETL design documents, establishing ETL standards, and performing Informatica mapping reviews.
• Prepared high-level plans for different ETL streams preparing configuration management strategy for ETL code development and deployment.
• Implemented mapping level optimization with the best route possible without compromising business requirements by analyzing the source data from different sources (Oracle, DB2, XML, Flat files) and working on developing ETL mappings to extract the data from source systems.
• Interacted with Business Analysts to identify the process and requirements gathering and implement required data pipelines.
• Created Complex Mappings to load data using transformations like Source Qualifier, Expression, Aggregator, Dynamic Lookup, Connected and unconnected lookups, Joiner, Sorter, Filter, Stored Procedures, Sequence, Router, and Update Strategy.
• Provided data modeling (logical and physical) of the DWH model in DB2, Functional and technical analysis, and tech design reviews. 
• Responsible for the Performance tuning at the Source Level, Target Level, Mapping Level, and Session Level. 
• Collaborated with Analytics on report development and Sales, Marketing, and IT regarding customer SLA and Compliance reporting. 
• Participated in cross-application integration and system testing and worked with team members in the defect resolution process. 

VERIZON BUSINESS                                                                                                                                      03/2007-09/2008

Business Analyst and Data Integration Lead - Executive Dashboard

• Responsible for database and ETL design for multiple platforms with Enterprise Data Warehouse system integration, leading a high-performance EDW/BI architecture, data modeling, and overseeing data management, migration, quality, and governance. 
• Managed multiple projects working directly with business users and stakeholders on defining project scope, planning, and controlling project life cycle. Risk management and backup/rollback plan to ensure successful project execution and closing. 
• Interacted with business users and business analysts to identify and develop business requirements and transform them into technical requirements and ultimately will be responsible for delivering the solution. 
• Commended for creative and efficient redesigns of various ETL processes, allowing for performance improvements that reduced process runtime by 60%-80%, and improved Data Quality up to a staggering 99.8% accuracy on a project-by-project basis. 

Harvard Business School
Organizational Leadership
Jun 2022 - Aug 2022

MIT xPRO
Requirements for Large-Scale Universal Quantum Computation
May 2022 - Jun 2022

Scrum Alliance
Certified Scrum Master
May 2022 - Jun 2022

MIT xPRO
Practical Realities of Quantum Computation and Quantum Communication
Apr 2022 - May 2022

MIT xPRO
Quantum Computing Fundamentals
Nov 2021 - Dec 2021

MIT xPRO
Introduction to Quantum Computing
Sep 2021 - Oct 2021

Universidad Internacional Menéndez Pelayo
Quantum and Quantum Inspired Computing
Sep 2021 - Sep 2021

INSA - Business,Marketing and Communication School
Master in Business Intelligence
2009 - 2010

University of Buenos Aires
Data Mining and Knowledge Discovery Specialization (Postgraduate)
2006 - 2007

Universidad Centro de Altos Estudios en Ciencias Exactas
Licenciatura en Sistemas, Information Systems
1997 - 2001