Erick Izaguirre, Product Manager in Tegucigalpa, Francisco Morazán, Honduras
Erick is available for hire
Hire Erick

Erick Izaguirre

Verified Expert  in Product Management

Product Manager

Tegucigalpa, Francisco Morazán, Honduras

Toptal member since April 28, 2022

Bio

Erick is a certified data specialist with extensive experience in governance, data analysis, architecture, and management. He has an MBA, is PMP-certified, and holds numerous certifications. Erick managed the development of products based on predictive modeling for education institutions worldwide and the roll-out of a learning analytics platform in several countries. He is passionate about using data to drive the adoption of products that provide value to clients and stakeholders.

Project Highlights

Predictive Engine Product Suite
Managed the development and adoption of a series of products based on predictive modeling. It supported student success operations across multiple higher education institutions worldwide.
Learning Analytics Product Deployment
Drove the roll-out and adoption of a learning analytics platform in more than ten higher education institutions across geographies.
Cloud Enterprise Data warehouse
Delivered a cloud-based enterprise data warehousing consolidating product and operational data.

Expertise

  • Business Intelligence (BI)
  • Data Warehousing
  • Integration
  • Objectives & Key Results (OKRs)
  • Product Management
  • Product Owner
  • Project Management
  • Reporting

Work Experience

Data PDM, CRM Analysis and Optimization

2023 - 2023
NexGenCAM LLC
  • Enhanced the lead distribution and prioritization process.
  • Designed the pipeline process for lead intake in their data warehouse.
  • Supported the BDR team with ad hoc analysis on an as-needed basis.

Manager, Data Engineering and Architecture

2022 - 2023
EY
  • Delivered value through the use of data in consulting engagements.
  • Advocated for the adoption of cutting-edge technologies with clients.
  • Created opportunities for new professional services.

Director, Business Intelligence and Reporting

2021 - 2022
PartnerHero
  • Leveraged existing technology investments to create a corporate-grade cloud data warehouse using the Google Cloud Platform.
  • Defined, designed, and executed a corporate strategy to consolidate data from internally built data products and disparate data sources.
  • Guided the definition of the corporate and departmental OKRs for the year 2022.

Senior Manager, Business Analytics

2014 - 2021
Laureate International Universities
  • Orchestrated the implementation of products focused on descriptive analytics, predictive analytics, and market research solutions for 12 universities in Latin America.
  • Aligned structures and processes to support a productized work model based on customer satisfaction and needs, Agile methodologies, KPIs, and OKRs.
  • Accelerated the professional development and growth of multidisciplinary high-performance teams responsible for executing aggressive product and project roadmaps while maintaining an extremely low staff turnover.
  • Drove the adoption of a hybrid business intelligence model, consolidating decision-making data using a centralized solution while promoting self-service analytics to address various data needs across the company.

Business Solution Architect

2012 - 2014
Tigo Honduras
  • Spearheaded the roll-out of the corporate business process management (BPM) solution by implementing automated business processes that simplified and optimized key areas of the operation.
  • Developed BPM workflows for critical business processes such as purchase order approval, product assurance, extra hours payment, travel expenses approvals, and reimbursements, to name a few.
  • Created and maintained an integration middleware to support the operation of the corporate orchestration engine and provide integration through web APIs and services to legacy solutions of the corporate infrastructure.

Project History

Predictive Engine Product Suite

Managed the development and adoption of a series of products based on predictive modeling. It supported student success operations across multiple higher education institutions worldwide.

The Predictive Engine Product Suite is a productized engine that uses a series of customized predictive models that answer questions around student retention, student success in the online classroom, effort, and engagement in the online classroom, and financial aid.

The product included pipelines for ingesting data, repositories for structured and unstructured data, statistical models to answer each question, product logic for model selection, a web front end for configuration, access to the models' outputs, and additional data for student success teams.

Learning Analytics Product Deployment

Drove the roll-out and adoption of a learning analytics platform in more than ten higher education institutions across geographies.

Oversaw executing a project portfolio focused on implementing and end-user adoption of a learning analytics product in higher education institutions across Mexico, Honduras, Costa Rica, Panama, Chile, Peru, Brazil, Spain, Malaysia, and India.

Cloud Enterprise Data warehouse

Delivered a cloud-based enterprise data warehousing consolidating product and operational data.

The Cloud EDW consolidates data from the company's operations and product development areas. The Cloud EDW will enable the creation of robust Business Intelligence and Product Intelligence models to support decision-making for both departments.

Education

2020 - 2020

Executive Education - Product Strategy in Product Strategy

Kellogg Executive Education - United States

2010 - 2013

Master's Degree in Business Administration (MBA)

Universidad Tecnológica Centroamericana - Tegucigalpa, Honduras

2001 - 2005

Bachelor's Degree in Computer Science

Universidad Católica de Honduras - Tegucigalpa, Honduras

Certifications

JULY 2023 - JULY 2024

SAFe® 6 Product Owner/Product Manager

Scaled Agile, Inc.

FEBRUARY 2023 - FEBRUARY 2024

Azure AI Engineer Associate

Microsoft

OCTOBER 2022 - OCTOBER 2023

Azure Data Scientist Associate

Microsoft

AUGUST 2022 - AUGUST 2023

Azure Data Engineer Associate

Microsoft

JULY 2021 - JULY 2024

Project Management Professional (PMP)

Project Management Institute (PMI)

MAY 2021 - MAY 2024

Power BI Data Analyst Associate

Microsoft

DECEMBER 2018 - PRESENT

Tableau Desktop Specialist

Tableau

SEPTEMBER 2016 - PRESENT

Data Management and Analytics

Microsoft

JANUARY 2013 - PRESENT

SOA Architect

Arcitura Education Inc

Skills

Tools

Tableau, Microsoft Power BI, Slack, GitHub, Microsoft Project, Microsoft Power Apps, Tableau Desktop Pro, Azure Machine Learning

Paradigms

Agile, Scrum, Requirements Analysis, Business Process Modeling Notation (BPMN), Anomaly Detection

Platforms

Monday.com, Azure, Microsoft Power Automate, Google Cloud Platform (GCP), Microsoft Bot Framework

Other

Business Intelligence (BI), SQL Server 2014, Reporting, Data Warehousing, Objectives & Key Results (OKRs), SQL, Data Analysis, Data Extraction, Data Visualization, Communication, Databases, System Design, User Requirements, Leadership, Project Management, Risk Management, Time Management, Team Management, Business Analysis, Cloud Computing, Integration, Product Management, Product Owner, Stakeholder Interviews, Product Analytics, Customer Insights, Email, Microsoft Teams, Programming, Networking, Organizational Structure, Culture Management, Talent Management, Project Finance, Cost Management, Web Services, Web API, Product Strategy, Orchestration, Google BigQuery, Big Data Architecture, Serverless Architecture, Data Pipelines, Data Lakes, IT Project Management, Azure Data Factory (ADF), Azure SQL Databases, Azure Synapse, Azure Data Lake, Google Cloud Functions, SQL Server 2008, Oracle, MicroStrategy, Azure SQL, Data Engineering, Databricks, Azure Stream Analytics, Computer Vision, Natural Language Processing (NLP), Azure Cognitive Services, Data Science, Generative Pre-trained Transformers (GPT), Technical Product Management, Data Analytics

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring