Matt Strautmann

Head of Data

2024

Senior Manager of Data and AI Engineering

2022 - 2024

• Reported to Head of Data. • Product owner for Braze’s internal AI tooling and campaign performance reporting layer. • Reduced time-to-insight for Executive Business Reviews from 6 days to real-time, enhancing decision-making efficiency by 80%. • Partnered with senior leadership to align AI investments with revenue enablement.

Principal Data Engineer

2021 - 2022

• Reported to CEO • Rebuilt the data platform, data modeling, and pipelines • Delivered full analytics stack across product, marketing, and finance • Architected core CDP logic and event taxonomy • Implemented a scalable data warehouse • Sole data owner across the org; enabled company-wide data visibility and reporting.

Head of Data

2020 - 2021

• Built and led a data team of 3; Reported to the CTO. • Established the company’s data infrastructure from the ground up. • Designed and implemented a cross-channel customer data platform, enabling personalized marketing and product experiences. • Increased customer engagement by 25% through data-driven personalization and optimized user journeys. • Collaborated with the executive team to define key performance indicators, aligning data metrics with business objectives. • Managed a $1M budget for data initiatives, ensuring compliance with financial regulations and data security standards.

Director of Data Science, Hotel Tonight

2018 - 2020

• Led data division for HotelTonight; team of 10+; Reported to the Head of Data. • Owned roadmap, hiring, and stakeholder communication for divisional data. • Enabled multi-million dollar revenue growth via improved sales forecast and yield models. • Developed and deployed NLP-based hotel profile matching systems, enhancing inventory accuracy and customer satisfaction. • Implemented metro-level sales forecasting tools, improving supply chain efficiency and reducing revenue leakage by 15%. • Presented quarterly analytics reports to senior leadership, influencing marketing spend and product development decisions.

Machine Learning - Video Classification

2015 - 2018

• Led a team of 10 data professionals, reporting to the Director of Data Science • Developed machine learning models for video inference, focusing on real-time ad classification and targeting • Achieved a 10% improvement in ad classification accuracy, contributing to increased advertising ROI. • Provided insights to executive stakeholders on ad performance metrics, guiding strategic advertising decisions. • Handled data processing for over 1 trillion ad classifications daily, ensuring the scalability and performance of data systems.