IT & Data Manager

Tisun Beauty • Charlotte, NC

19h • Hybrid

About The Position

IT & Data Manager Architect our data foundation and lead AI-driven transformation in beauty retail. We are a growing beauty retail company operating multiple retail locations, with plans to expand into e-commerce and build a digital presence from the ground up. Our customers trust us for expert product curation, personalized beauty advice, and a shopping experience that reflects genuine care and deep product knowledge. We are launching an initiative to build a unified data foundation and digital infrastructure that will power AI-driven personalization, smarter inventory management, and a seamless omnichannel customer experience. This role is the leadership hire that makes it all happen. We are looking for a hands-on IT & Data Manager to architect, build, and lead our entire technology and data infrastructure. This is a greenfield opportunity: you will evaluate our existing systems, design the right data architecture, select the tools and platforms that fit our scale, and build the digital capabilities we need — including a brand-new e-commerce platform and website from scratch. Our current technology footprint includes a Lightspeed X-Series POS across our retail locations. Everything beyond that — the data architecture, integration strategy, database platform, e-commerce stack, analytics pipeline, and AI roadmap — is yours to design. We have ideas and direction, but we are hiring you to make the technology decisions and own the outcomes. You will be the first dedicated technology leader in the company, reporting directly to the CEO/COO with a mandate to build and lead a small, high-impact IT team.

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

Nice To Haves

• Experience in beauty, cosmetics, or specialty retail
• Familiarity with Lightspeed X-Series POS and its API/integration ecosystem
• Hands-on experience deploying AI agents, LLM-powered tools, or intelligent automation in a business context
• Experience with cloud platforms (Azure, AWS, or GCP) and migration planning
• Background in recommendation systems, customer segmentation, or predictive analytics for retail
• PCI DSS compliance experience
• Knowledge of CCPA or state-level privacy regulations

Responsibilities

• Evaluate our existing Lightspeed POS data and design the data architecture from the ground up, selecting the database platform, integration tools, and pipeline strategy that fits our scale and growth trajectory
• 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
• Evaluate and plan for adoption of Agentic AI technologies — autonomous agents capable of multi-step workflows such as customer service resolution, order management, supplier communication, dynamic pricing, and proactive inventory reordering
• Stay current with rapidly evolving AI capabilities; assess emerging tools and frameworks for practical application; build infrastructure flexible enough to support future AI agent integration
• Establish model monitoring, evaluation, and retraining protocols to keep AI systems accurate as data and conditions evolve
• Hire and manage a small IT team: Database/Integration Engineer, E-Commerce Developer, Data Analyst, and IT Support Technician, scaled to business needs
• Manage vendor relationships with Lightspeed, hosting providers, e-commerce partners, and contract consultants
• Set and manage the IT budget with build-vs-buy recommendations grounded in ROI and scalability
• Coordinate with store managers to improve POS data capture and train staff on customer profile completion
• 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
• Design the customer consent framework and maintain compliance with applicable privacy regulations

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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed