Director of Data and AI

As the Director of Data and AI at Public, you will be responsible for managing a team of Data Analytics Engineers and driving all data-related initiatives. Your role will involve building efficient data processing systems and modeling data for analytics. You will collaborate with cross-functional teams to execute complex projects aligned with business goals and product roadmap. Additionally, you will oversee and manage data infrastructure, processes, and tools. This role is preferably based in New York City.

• Lead a team of high performing Data Analytics Engineers, ensuring proper execution of functions; foster a positive team culture and set data management standards and best practices
• Develop an in-depth understanding of our business goals, priorities, and success metrics in order to help set business strategy, build data solutions for complex problems, and inform decision-making
• Work within large datasets to conduct analyses – that includes: data science, exploratory data analysis, and model development – and then clearly communicate results / insights to leadership
• Build and manage all advanced reporting, dashboards, data models, and tools to support cross-functional teams and initiatives, and enable teams to self-service where possible
• Extract, manipulate, cleanse, and synthesize data from a variety of sources through ETL technologies

• 8+ years of experience in algorithmic engineering, data science, or machine learning
• 5+ years of experience in people management and scaling teams
• Strong technical domain knowledge, including mastery of at least one programming language and SQL
• Passion for artificial intelligence and machine learning
• Experience in data science, exploratory data analysis, and model development
• Ability to communicate results and insights to leadership
• Experience in building and managing advanced reporting, dashboards, data models, and tools
• Proficiency in extracting, manipulating, cleansing, and synthesizing data from various sources through ETL technologies

• 8+ years of experience in algorithmic engineering, data science, or machine learning, and 5+ years in people management and scaling teams
• Strong technical domain knowledge required
• Passion for artificial intelligence and machine learning
• Experience working with Generative AI (GenAI)
• Ability to collect data from internal and external systems and design data storage structures
• Build automated data pipelines
• Strong understanding of data modeling principles and modern data platforms
• Ability to push boundaries of analytical insights with modern machine learning and data science stacks
• Exceptional communication skills and high EQ
• Ability to manage multiple projects in a fast-paced environment
• Preferred: Experience with large-scale consumer products at start-ups or within fast-growing finance or technology companies
• Bonus: Advanced degree in Statistics, Econometrics, Mathematics, or a related quantitative field