VP, Data

Full Time - Austin, TX

As the Vice President of Data, you will be a key leader within our Executive team. This role is responsible for shaping and executing the company’s data strategy. You will oversee a comprehensive portfolio encompassing data engineering, data science, analytics engineering, business analytics, machine learning (ML) engineering, data architecture, and data governance. Your role will be crucial in leveraging data-driven insights to inform business decisions, build exceptional product experiences, enhance operational efficiency, and contribute to the overall growth and success of the company.

Data Strategy and Vision

  • Develop and implement a robust data strategy aligned with the company's business objectives
  • Drive innovation in data management, analytics, and machine learning to stay ahead of industry trends

Team Leadership

  • Provide strong leadership to a diverse team of data professionals, including data engineers, data scientists, analytics engineers, business analysts, and ML engineers
  • Foster a collaborative and high-performance culture within the data organization and with cross-functional teams, including Marketing, Operations, Finance, and Product teams

Data Engineering and Architecture

  • Oversee the design, development, and maintenance of scalable and efficient data pipelines and storage
  • Define and implement data architecture best practices, ensuring data integrity and availability
  • Develop strong relationships with application engineering teams to maximize their effective use of data in building incredible product experiences

Data Science and Machine Learning

  • Lead the data science and ML teams to develop predictive models and algorithms to enhance product experience and business decision-making
  • Explore and implement cutting-edge technologies in machine learning and artificial intelligence
  • Prioritize data science initiatives to drive the most business impact with the least effort
  • Build a robust machine learning platform and infrastructure to enable rapid model design, implementation, validation, calibration, documentation, feature engineering, deployment, batch and real-time inference, and ongoing monitoring
  • Oversee a best practices experimentation program to measure the impact of new features on customer and Runner (that’s what we call our delivery drivers) behavior while fostering a culture of statistical rigor and data-based decision-making

Analytics Engineering and Business Analytics

  • Drive the development of analytics solutions, including a self-service visualization platform and complex analytics projects to provide actionable insights to various teams
  • Collaborate with stakeholders to understand their business objectives and inform key performance indicator selection, performance measurement, opportunity identification, strategic planning, and analysis

Data Governance

  • Establish and enforce data governance policies and procedures to ensure accuracy, integrity, and security of company data
  • Collaborate with information security to ensure compliance with data protection regulations and industry standards

Skills You Have

  • An advanced degree or equivalent experience in computer science, engineering, data science, mathematics, statistics, or a related field
  • Proven experience (15+ years) in a leadership role overseeing data-related functions
  • Expert-level knowledge of statistical methods and ML methods and patterns, including statistical analysis, natural language processing, deep learning, predictive modeling, time-series analysis, experimental design, and outcome optimization.
  • Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams, executives, and board-level leadership
  • A demonstrated track record of creating strategic relationships across the business while driving alignment on high-priority, high-visibility initiatives
  • Expertise in organizational design and building a data team with a diverse range of technical and business domain expertise
  • Experience with business intelligence and data visualization software, such as Looker and Tableau
  • Experience implementing scalable, distributed, and highly available ML systems using Amazon Web Services
  • Knowledge of data warehouse design, Extract, Transform, and Load/Extract, Load, and Transform processes, data governance best practices, and tools including Snowflake, Redshift, dbt, Hevo, and Monte Carlo
  • Familiarity with experimentation frameworks and statistical concepts related to A/B and multivariate testing
  • High proficiency in relational database and query languages (e.g. SQL, Athena, Spectrum) 
  • Familiarity with R/Python. 
  • Effective written and verbal communication skills, particularly in storytelling with data in a presentation setting
Life at Favor

Where you’ll work: This is a hybrid role, meaning you’ll work from home roughly three days per week and collaborate with other team members in person at our HQ in Austin, Texas for the remaining work days. No matter where you work best, we foster an inclusive and flexible environment to support our workforce. 

Benefits: We offer premium health, vision, dental, and life insurance, alongside 401(k) options. We go beyond the basics, while also throwing in Favor delivery fee credit and H-E-B discounts! 

Paid time off (PTO): We offer unlimited PTO for salaried employees (that’s actually unlimited) and ample vacation time to all team members.

Learning and development: We encourage personal growth and education through Intern(al)ships and Learning Labs taught by Favor team members and external facilitators.

Community: Whether you’re an avid cyclist, dog lover, or Magic enthusiast, there’s a group for you here. We foster community through Employee Resource Groups (ERGs), quarterly company-wide events, weekly happy hours, and regular connection opportunities.

Diversity, equity, and inclusion: At Favor, we believe that to be the best delivery app in Texas, we need to represent all Texans. We are committed to growing a team with different backgrounds, experiences, abilities, and perspectives, and we are an equal opportunity employer. 

In addition, as a candidate, if you require any accommodations throughout the recruitment process, simply let your recruiter know! Our talent acquisition team will work with you directly to ensure a smooth and delightful process.
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