VP of Data Engineering & Analytics

Role Description The VP of Data Engineering & Analytics is a full-time remote role responsible for leading the design, implementation, and optimization of the company’s data architecture, pipelines, and analytics platforms. This position oversees data engineering and analytics teams, sets technical direction, and ensures that data solutions align with business objectives and product strategies. Day-to-day tasks include defining data platform roadmaps, reviewing system designs, guiding software and data development practices, and monitoring delivery against key milestones and performance metrics. The VP will partner closely with product, engineering, operations, and business stakeholders to prioritize initiatives, manage complex projects, and ensure reliable, high-quality data for reporting, advanced analytics, and machine learning. The role also involves establishing best practices for data governance, security, compliance, and documentation, while mentoring leaders and team members to foster a culture of excellence, collaboration, and innovation.QualificationsDemonstrated expertise in Engineering Management and Team Leadership, including building, coaching, and scaling high-performing data engineering and analytics teams.Strong background in Software Development with experience in modern data engineering tools, cloud platforms, and scalable systems design.Proven Project Management skills, with the ability to manage complex, cross-functional initiatives, prioritize work, and deliver on time and within scope.Experience in Product Development, collaborating with product and business stakeholders to define data-driven features and align technical solutions with business outcomes.Extensive experience in data architecture, data warehousing, ETL/ELT pipelines, and analytics ecosystems; familiarity with BI tools and modern data stack technologies.Strong strategic thinking, problem-solving, and communication skills, with the ability to explain technical concepts to non-technical audiences and influence senior stakeholders.Track record of implementing data governance, privacy, and security practices, including compliance with relevant regulations and industry standards.Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field; advanced degree or equivalent experience in data engineering and analytics leadership is beneficial.Experience leading distributed or remote teams and working effectively in a remote-first environment.

Skills
Machine Learning, ETL, Project Management, Documentation

Experience
10+ yrs

Work arrangement
Yes