Thomas G. Email & Phone Number

Texas, United States

I'm having lots of fun at intercom :)...And I'm also: - Partnering with the Director of the Data Group to build and drive the Data Governance Program.- Driving the design and execution of the Business System's Incident Review Process.- Leading the Data Engineering and Data Infrastructure roadmap generation.- Maintaining the Data Group stakeholder teams up to date with our most recent delivery milestones and collecting their feedback on prioritization on a set cadence.

Austin, Texas, United States

Managed technical data and analytics programs within Youtube's Analytics and Data Science Team, ensuring successful roadmap delivery of end-to-end data products to the larger org by: - Wearing the hat of Scrum Master across four analytics and data infrastructure pods, adding up to ~ 40 team members.- Partnering with Youtube Product Owners and Team Leads to build quarterly roadmaps of data products that are known and understood by stakeholders and team members.- Supporting the… Show more Managed technical data and analytics programs within Youtube's Analytics and Data Science Team, ensuring successful roadmap delivery of end-to-end data products to the larger org by: - Wearing the hat of Scrum Master across four analytics and data infrastructure pods, adding up to ~ 40 team members.- Partnering with Youtube Product Owners and Team Leads to build quarterly roadmaps of data products that are known and understood by stakeholders and team members.- Supporting the execution of Scrum ceremonies, coaching Product Owners and Dev Team and ensuring compliance with agile best practices. - Championing Scrum maturity through a collaborative approach to find opportunities for improvement, implement them, and continually scale the agile process architecture.- Ensuring effective, timely and relevant communication with stakeholder groups through a weekly, monthly and quarterly cadence of touch points to report progress, re assess priorities, manage risks and steer roadmap development accordingly.- Leveraging Youtube’s data ecosystem (artists, creators, partners, vendors, operations, etc) to build scalable data products. Show less

Provincia De Santiago, Chile

- Owned the onshore and offshore analytics and machine learning products & services portfolio across industries (higher education, fintech, cinemas, public sector, etc).- Managed a team of BI analysts and data scientists (10+ team members) through the design, development and implementation of end-to-end analytics and machine learning products. - Drove the client relationship with C-level executives and main client stakeholders to control the pulse of their evolving needs and direct our… Show more - Owned the onshore and offshore analytics and machine learning products & services portfolio across industries (higher education, fintech, cinemas, public sector, etc).- Managed a team of BI analysts and data scientists (10+ team members) through the design, development and implementation of end-to-end analytics and machine learning products. - Drove the client relationship with C-level executives and main client stakeholders to control the pulse of their evolving needs and direct our product strategy accordingly.- Teamed up with the Product Marketing & Sales team to pitch our solutions to prospect clients and provide technical depth when faced with technical counterparts.- Served as Scrum Master for our product development process.Some achievements:- - Financial Factoring: Machine learning roadmap to impact the financial factoring value chain at several levels: Prioritizing leads to increase the % of conversion to clients, automate risk evaluation, optimize collection resources, and define the data architecture needed to support these solutions at scale. - - Higher Education: Predictive student retention product. It consisted of three modules: a desertion scoring model, retention strategies and retention tracking & analytics.Tech Stack:Storage / Processing: BigQuery.Machine Learning Development: Colab, R, Python.Model Packaging: Docker.Version Control: GitLab.Visualization: PowerBI. Show less

Av. Costanera Sur 2730, Tower B, 7Th Floor, Las Condes, Santiago, Chile

- Managed a portfolio of exploration projects ensuring optimal utilization of resources and a lean approach to discarding entities (zones) with low likelihood of mineralization fast and early, to maximize chances of success.- Reduced task repetition by 30% while maintaining quality standards for the copper exploration process by coordinating, planning, and implementing process re-engineering initiatives and projects.- Ensured constant monitoring of dependencies across cross functional… Show more - Managed a portfolio of exploration projects ensuring optimal utilization of resources and a lean approach to discarding entities (zones) with low likelihood of mineralization fast and early, to maximize chances of success.- Reduced task repetition by 30% while maintaining quality standards for the copper exploration process by coordinating, planning, and implementing process re-engineering initiatives and projects.- Ensured constant monitoring of dependencies across cross functional teams of experts, entity owners and operations (adding up to 18 team members across) to streamline execution.- Implemented the continuous improvement process for the porphyry copper exploration team, leading to 20+ process innovation initiatives. Show less

Santiago De Chile

Enabled data driven decisioning for commercial and account management teams by building dashboards and ad hoc analysis, which reduced data-to-insights and insights-to-decision turnaround by ~50%. This required:- Reengineering data pipelines.- Building a previously non-existing analytics layer through materialized views: highly denormalized fact tables that could easily and efficiently feed into the visual layer.- Documenting the definition of metrics.- Checking-in with… Show more Enabled data driven decisioning for commercial and account management teams by building dashboards and ad hoc analysis, which reduced data-to-insights and insights-to-decision turnaround by ~50%. This required:- Reengineering data pipelines.- Building a previously non-existing analytics layer through materialized views: highly denormalized fact tables that could easily and efficiently feed into the visual layer.- Documenting the definition of metrics.- Checking-in with internal stakeholders to collect and track their analytics needs. Show less

Santiago De Chile

Minimized lead time and task repetition by process mapping and re-engineering applied to: New Products and Brokers, Collection, Policy Maintenance, Policy Subscription.

Santiago De Chile

Enabled systematic value generation by developing and implementing a quality management model for software development and human resource outsourcing according to ISO 9001 and/or NCH 2909 standards. Applied process optimization and process engineering best practices.

Msc, Business Analytics, 4.0

Activities and Societies: Marketing & Business Analytics Student Organization, Society for Design and Process Science, Student.

Msc, Business Process Engineering With It Support

Activities and Societies: Basquetball and football team. Universidad de Chile The M.S. in Business Engineering implements a methodologic.

Bachelor'S Degree, Industrial Engineering