Senior Director, Data Platform and Delivery

As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority . That’s key. But we’re also looking for unique enthusiasm, high integrity, courage to embrace change…and if you know a few jokes, that puts you on the top of our list!

Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We’re more interested in passionate people with fresh ideas from different backgrounds. That’s what keeps us at the top of our game. We’re proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain’s Fast 50 list ten times.

We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years.

If you’re ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let’s chat – Apply Today!

• Team member appreciation events and recognition programs
• Volunteer opportunities
• Monthly IT stipend
• Casual dress code
• On-demand pay options:
  Access your pay as you earn it, to cover unexpected or even everyday expenses
• All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away – don’t worry, we’ve got you covered.

The Job at a Glance

We are looking for a strategic leader to architect and scale the modern data and engineering platform that fuels Parts Town’s AI and digital ambitions. Reporting to the Global CIO, this role owns the data platform, data engineering, integration, and governance capabilities that serve as the foundation for AI-driven innovation—partnering closely with product and data science teams without directly owning those functions.

This is a foundational platform engineering role with a future-focused charter: build the infrastructure that unlocks real-time, reusable, and responsible data across the enterprise.

A Typical Day

• Platform Architecture & Data Engineering Leadership
  • Lead the design and implementation of a scalable, cloud-native platform (GCP preferred) for real-time data ingestion, transformation, and serving.
• Architect pipelines and semantic layers to support AI, ML, and real-time decisioning.
• Modern Integration Patterns:
  Promote API-first and event-driven architectures to unify ERP, commerce, and operational systems into a cohesive data mesh.
• Data Quality, MDM & Governance Data
• Enable Trusted, Governed Data:
  Partner with Data Governance to operationalize stewardship, lineage, and access controls across business domains.
• Master Data Foundations:
  Sponsor the implementation and lifecycle management of MDM platforms to ensure consistent data across customer, product, vendor, and location domains.
• Support Federated Governance:
  Create engineering capabilities (catalogs, observability, policies as code) that empower decentralized teams to operate responsibly Manage engineering budgets efficiently to maximize impact
• Platform Enablement for AI and Digital Products
• Serve as the Data Enabler for AI:
  Deliver the infrastructure that allows AI teams to build and deploy use cases (e.g., personalization, pricing, customer service agents) efficiently and at scale.
• Operationalize AI Outputs:
  Work with IT and business systems to ensure AI insights are consumable in ERP, CRM, and operational workflows.
• Platform as a Product:
  Evolve the platform with customer (data product, analytics, AI) feedback in mind—ensuring high availability, low latency, and extensibility.
• Strategic Leadership & Collaboration
• Technology Vision &
  
  Roadmap:
  
  Develop and communicate a clear roadmap for the data platform that aligns with enterprise strategy and emerging AI demands.
• Cross-Functional Partnership:
  Act as the connective tissue between IT, product, AI, and business units—ensuring platform capabilities align with priorities.
• Support Governance Bodies:
  Contribute to the Data Council and Architecture Review Board (ARB) with insight into infrastructure readiness and scalability.
• Team Development
• Build…