Overview
On Site
200k - 250k
Full Time
Skills
Retail
Startups
Embedded Systems
Electronic Commerce
Team Building
Stakeholder Engagement
Data Science
Collaboration
Operational Efficiency
Cloud Computing
Optimization
Roadmaps
Management
Generative Artificial Intelligence (AI)
Analytics
Regulatory Compliance
Privacy
Data Engineering
IaaS
Data Architecture
Real-time
Data Processing
Machine Learning (ML)
Predictive Analytics
Big Data
Cost Management
Performance Tuning
Leadership
Communication
Computer Science
Artificial Intelligence
Job Details
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 Doing
Tech Breakdown
Daily Responsibilities
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 Doing
Tech Breakdown
- 40% Data architecture, engineering leadership, and pipeline optimization
- 30% AI/ML strategy, model development, and analytics oversight
- 30% Cross-functional leadership, team development, and stakeholder engagement
Daily Responsibilities
- Design and evolve scalable data systems across cloud and edge infrastructure
- Lead data engineering, data science, analytics, and AI/ML teams
- Collaborate with engineering, product, and business teams to deliver high-impact solutions
- Manage operational efficiency, cost performance, and cloud resource optimization
- Build and execute a roadmap aligned with user needs and strategic goals
- Oversee the development of predictive models, generative AI systems, and analytics frameworks
- Ensure data compliance, privacy, and security standards are met across all environments
Required Skills & Experience - 10+ years of experience in data engineering with a strong AI/ML foundation
- Proven success in building and scaling global data teams
- Expertise in cloud infrastructure, data architecture, and real-time data processing
- Strong understanding of machine learning frameworks, predictive analytics, and big data tools
- Experience with cost management, performance tuning, and system troubleshooting
- Excellent leadership and communication skills across technical and non-technical teams
- Background in engineering, computer science, AI, or a related technical field
The Offer - Competitive salary and executive-level compensation
- Medical, Dental & Vision coverage
- 401(k) retirement plan
- Unlimited PTO policy
- Hybrid work schedule (NYC preferred, flexible remote)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.