VP of Data

Join a visionary retail technology company transforming how people shop in the physical world. This is your opportunity to shape the future of connected retail through powerful data infrastructure, real-time analytics, and cutting-edge AI. Led by industry veterans and built like a startup, the team is reinventing the in-store experience for today’s digitally savvy customers.You’ll be at the heart of a platform that blends big data, machine learning, and embedded systems to power smarter, more enjoyable physical shopping—bringing the convenience of e-commerce to brick-and-mortar.This role is perfect for a hands-on, strategic data leader ready to build and scale high-performance data systems, manage top-tier global talent, and drive business impact at a high-growth company.What You’ll Be DoingTech Breakdown40% Data architecture, engineering leadership, and pipeline optimization30% AI/ML strategy, model development, and analytics oversight30% Cross-functional leadership, team development, and stakeholder engagementDaily ResponsibilitiesDesign and evolve scalable data systems across cloud and edge infrastructureLead data engineering, data science, analytics, and AI/ML teamsCollaborate with engineering, product, and business teams to deliver high-impact solutionsManage operational efficiency, cost performance, and cloud resource optimizationBuild and execute a roadmap aligned with user needs and strategic goalsOversee the development of predictive models, generative AI systems, and analytics frameworksEnsure data compliance, privacy, and security standards are met across all environmentsRequired Skills & Experience10+ years of experience in data engineering with a strong AI/ML foundationProven success in building and scaling global data teamsExpertise in cloud infrastructure, data architecture, and real-time data processingStrong understanding of machine learning frameworks, predictive analytics, and big data toolsExperience with cost management, performance tuning, and system troubleshootingExcellent leadership and communication skills across technical and non-technical teamsBackground in engineering, computer science, AI, or a related technical fieldThe OfferCompetitive salary and executive-level compensationMedical, Dental & Vision coverage401(k) retirement planUnlimited PTO policyHybrid work schedule (NYC preferred, flexible remote) #J-18808-Ljbffr

Created: 2025-09-17