Engineering Director, Head of Data (Remote)
United States
Brex
Spend smarter with integrated corporate cards, expenses, travel, and payments — in 100+ countries.Why join us
Brex is reimagining financial systems so every growing company can realize their full potential. As the financial OS, we’re building software and services in one place—disrupting long-entrenched institutions with products and experiences that better serve the ambitions of our customers.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Data at Brex
The Data organization develops infrastructure, statistical models, and products using financial data. Our Scientists and Engineers work together to make data—and insights derived from data—a core asset across the company. Our work is ingrained in Brex’s decision-making process, in the efficiency of our operations, in our risk management policies, and in the second-to-none experience we provide our consumers.
What you’ll do
As an Engineering Director at Brex, you will lead & support incredible teams to shape the future of our products and company. Specifically, you will lead & support the entirety of Data at Brex, encompassing machine learning, analytics, and data platform functions. We’re looking for a servant leader who values growing the people on their teams alongside a strong desire to develop collaborative & effective organizations.
Responsibilities
- Build, lead, and grow successful data science, analytics, and engineering teams; including exceptional managers and individual contributors.
- Actively partner with recruiting teams to hire great talent at Brex. You will be a collaborator in sourcing & closing candidates, in addition to helping build company-wide leadership principles.
- Define & lead the Data organization’s charter and roadmap while developing key metrics and frameworks to inform success.
- Support teams to design scalable data systems to empower customers with accessible and reliable insights, while being a champion for compliance.
- Represent the Data organization as a stakeholder in cross-functional partnerships and set priorities for your teams.
- Inspire a collaborative culture and uphold Brex’s values alongside high engineering standards to bring consistency to the codebases, infrastructure, and processes.
Requirements
- Several (5+) years of experience in a senior engineering leadership role having managed multiple teams & sub-teams in a high growth environment. Ideally, organizations of 40+ individuals.
- Experience managing best data practices, creating OKRs (objectives & key results) and KPIs (key performance indicators), and influencing a data-driven culture company-wide.
- Deep technical understanding of Data relevant topics, including (some, but not all): machine learning, statistics, analytics, and processing large data sets.
- Strong and effective communication ability to convey complex ideas in a simple manner, apply active listening when working with others, and drive teams to resolutions during discussions.
- A proven track record of building cultures that encourage ambition and foster empathy. You will create and contribute to a healthy and collaborative culture that showcases Brex’s values.
- You lead by example and aren’t afraid to roll up your sleeves and dive into the team’s work to fill gaps as needed.
Bonus points
- You have experience within the domain of Fintech. Specifically, surrounding the areas of fraud, risk, and integrity detection.
- Previous experience having founded a company or been a foundational member of an early-stage start up. We value entrepreneurial spirit & scrappiness.
Tags: Engineering FinTech KPIs Machine Learning Statistics
Perks/benefits: Career development Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open AI Engineer jobs
- Open Senior Data Architect jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Engineer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Manager jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open ETL Developer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs