Senior Manager of Data Analytics and Engineering, Passport

• 5+ years of experience in BI and data warehousing using the modern data stack
• 3+ years of experience managing a data team, demonstrating strong decision-making capabilities that balance the needs of the business and the team
• Advanced technical expertise in SQL, Python, data modeling, and building dashboards
• Ability to partner closely with stakeholders to define and execute a strategic roadmap for technical initiatives
• Strong communication and organization skills, with experience leading multiple projects simultaneously and balancing short-term deliverables with long-term strategic initiatives
• Is proactive and possesses high degrees of ownership; able to astutely identify opportunities for improvement, drive new processes, and rally the team to problem solve together
• If you only have a subset of the qualifications above, we encourage you to apply as well

Desirable

• We're looking for a Sr Manager of Data Analytics and Engineering to join our Data team. This person will manage a team of analytics engineers/data analysts, while working closely with product managers, and software engineers to support data product launches and data roadmaps
• The ideal candidate will have data infrastructure and data architecture skills, a proven track record of leading and scaling data teams, operational skills to drive efficiency and speed, project management leadership, and a vision for how data can proactively improve companies
• Lead, mentor, and develop a team of analytics engineers (BI and data warehousing), fostering a collaborative and growth-oriented environment
• Build and drive the vision of data as a product across company verticals (finance, sales, operations, etc.)
• Translate high-level business goals into actionable team objectives and individual contributions
• Scale our data technology stack by managing data sets into our data warehouse, creating meaningful data transformations, and making data available in our BI tool
• Drive data quality across the product vertical and related business areas
• Collaborate with cross-functional stakeholders to understand their business needs and serve as a bridge between senior leadership and the team, ensuring alignment on priorities and organizational vision
• Standardize the team’s operations (e.g. workflows, documentation) and improve key team metrics (e.g. data quality, stakeholder satisfaction)