IT Manager, Data Manager

Role Overview

• Architect, build, and lead our entire technology and data infrastructure
• Evaluate our existing Lightspeed POS data and design the data architecture from the ground up
• Architect a unified data model connecting in-store POS transactions, customer profiles, product catalogs, inventory, and future e-commerce and web analytics into a single source of truth
• Design and implement identity resolution to create a single golden customer record from fragmented data across all channels
• Build the integration layer between Lightspeed POS and the central data platform with near-real-time sync, monitoring, and alerting
• Establish data governance policies: quality standards, naming conventions, access controls, and documentation
• Lead the evaluation, selection, and build of our e-commerce platform and brand website from scratch
• Ensure the e-commerce platform integrates deeply with the data architecture from day one: shared customer profiles, unified inventory, consistent product data across channels
• Implement analytics and behavioral tracking to capture browsing and purchase data that feeds into AI models
• Build the digital foundation for personalized experiences: product recommendations, beauty profile-driven content, and intelligent search
• Design and build the AI Feature Store — pre-computed customer and product features powering recommendation engines, churn prediction, demand forecasting, and personalized marketing
• Develop the AI roadmap, identifying high-impact use cases: personalized recommendations, virtual consultations, intelligent inventory replenishment, and automated customer engagement
• Hire and manage a small IT team: Database/Integration Engineer, E-Commerce Developer, Data Analyst, and IT Support Technician
• Manage vendor relationships with Lightspeed, hosting providers, e-commerce partners, and contract consultants
• Define and enforce data security policies for customer data across all current and new systems
• Ensure PCI DSS compliance across retail locations and the new e-commerce platform

Requirements

• 5+ years in IT management, data engineering, or a hybrid technical leadership role
• Demonstrated ability to design data architectures from scratch: evaluating platforms, selecting integration tools, building scalable pipelines for multi-channel retail or e-commerce
• Strong database expertise (SQL Server, PostgreSQL, or cloud-native) including schema design, query optimization, and ETL/ELT development
• Hands-on experience with POS system integrations and retail transaction data flows
• Experience leading the build or major overhaul of an e-commerce platform
• Working knowledge of data quality frameworks, deduplication, and identity resolution
• Understanding of AI/ML concepts and strong interest in emerging technologies including agentic AI, autonomous workflows, and intelligent automation
• Track record managing cross-functional technical projects with milestones, budgets, and deliverables
• Experience managing a small technical team (2–5 direct reports)
• Exceptional communication: able to translate architecture decisions for store managers and AI capabilities into business cases for executives.

Tech Stack

• Cloud
• ETL
• Postgres
• SQL

Benefits

• Competitive salary of $95,000 – $125,000 based on experience
• Comprehensive benefits including health, dental, and vision insurance
• Opportunity to build a technology function and data architecture from the ground up
• Direct reporting line to executive leadership with real decision-making authority
• Hybrid work flexibility after the initial buildout phase
• Employee discount on all beauty products
• Professional development budget including AI and emerging technology education