Own the digital
roadmap.
Translate business goals into practical technology initiatives, manage priorities, coordinate stakeholders and keep launches moving from idea through production.
Head of IT · E-commerce · AI & Digital Operations
I sit at the intersection of technology, e-commerce, AI and operations. I lead digital initiatives from strategy to launch while staying close to the systems, integrations, automation, data and AI capabilities that make the work real.
Translate business goals into practical technology initiatives, manage priorities, coordinate stakeholders and keep launches moving from idea through production.
Work across Shopify, storefront operations, catalog and merchandising workflows, B2B needs, fulfillment, returns and the systems around the customer journey.
Identify the right AI use case, choose the right capability and turn AI into a practical business tool for productivity, automation, analysis, content and decision support.
Shopify / Shopify Plus, Adobe Commerce Cloud and Salesforce Commerce Cloud, with a focus on integrations and practical storefront operations.
Microsoft 365, SaaS administration, access and licensing, business systems, vendor coordination and the infrastructure required to keep teams productive.
Build and maintain rules, flows and integrations across commerce, marketing, customer service, inventory, fulfillment and operations.
Product data, bulk updates, catalog workflows, imports and operational data hygiene using tools such as Matrixify and connected commerce systems.
Klaviyo flows, email automation, customer journeys and the technology layer that connects marketing activity with commerce operations.
3PL and fulfillment workflows, returns, support platforms and the integrations required to keep orders and customer communication moving.
Evaluate AI capabilities against real business problems, select the right tools and workflows, and apply AI responsibly for productivity, automation, analysis, content and decision support.
The interesting work is rarely one application. It is the handoff between them. I focus on making those connections reliable, understandable and useful to the people operating the business, including identifying where AI can improve the workflow rather than adding AI for its own sake.
A few examples of the problems I like to solve. Client and employer details stay intentionally high-level; the focus is on the technology, decisions and delivery.
Challenge Improve the storefront and B2B experience while keeping catalog, merchandising and operational workflows manageable.
Coordinated requirements, platform configuration and implementation across the storefront and business workflows, with emphasis on usability, maintainability and clean operational handoffs.
Challenge Reduce manual work across orders, inventory, fulfillment, returns and customer-facing processes.
Mapped the flow between commerce, fulfillment and support systems, then introduced rules and integrations to make routine operational work faster and more consistent.
Challenge Connect customer and commerce data to more useful automated marketing journeys.
Designed and maintained lifecycle flows and supporting commerce logic so marketing automation could operate reliably alongside the storefront and business rules.
Challenge Manage large product datasets without turning every update into a manual process.
Used bulk data workflows and validation practices to improve catalog maintenance, imports and operational accuracy across commerce systems.
Challenge Turn a recurring storefront merchandising problem into a reusable product rather than another manual workaround.
Co-created Digi Smart Swatch Sorter, taking the idea from problem definition through product development and launch preparation.
Challenge Improve accessibility readiness across customer-facing commerce properties while balancing tooling, content and implementation needs.
Coordinated accessibility tooling and supporting website content, including accessibility statement work and ongoing remediation planning.
CURRENT TOOLKIT
Technology should disappear behind a better experience.
I start with the outcome, not the tool. Technology is valuable when it makes the business simpler, faster or more reliable.
I focus on the best-fit AI capability for the problem, balancing usefulness, accuracy, security, privacy, cost and human oversight instead of using AI simply because it is available.
I look beyond the immediate ticket or request and consider the workflow, dependencies, ownership and long-term maintenance.
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