Parts Town

Operations

• Lead the design, implementation, and continuous improvement of IT service management processes
• Ensure IT services are delivered efficiently, reliably, and in alignment with business objectives
• Partner with Infrastructure, Applications, Cybersecurity, and Business stakeholders to improve service quality, operational stability, and end-user experience
• Own and govern core ITIL processes including incident management, problem management, change management, service request management, configuration management (CMDB), knowledge management
• Establish KPIs and SLAs for all IT services
• Drive adherence to service governance standards
• Monitor and improve service performance metrics (MTTR, SLA compliance, backlog trends)
• Lead root cause analysis for major incidents
• Chair Change Advisory Board (CAB)
• Optimize ticket workflows and automation
• Administer and optimize ITSM platform
• Translate business requirements into service delivery models
• Conduct service reviews with stakeholders
• Identify automation opportunities
• Provide coaching and performance management

IT Service Operations Manager

Platform Engineer

• Design and maintain AI-serving data pipelines that support production AI workflows
• Develop and manage structured data models, transformation logic, and semantic objects used in AI systems
• Support ontology development and governance within enterprise platforms for AI use cases
• Partner with the Enterprise Data team to ensure AI-serving transformations and semantic models align with foundational data standards and avoid duplication of business logic
• Improve data reliability, observability, and performance monitoring practices to support customer-facing and business-critical AI capabilities
• Collaborate closely with Applied AI Engineers to enable seamless integration of AI solutions into production environments
• Establish reusable data and semantic patterns that enable AI solutions to scale efficiently across multiple use cases
• Advance, maintain, and govern AI-serving data and semantic layers that enable reliable, scalable AI solutions.

AI Platform Engineer

AI Engineer

• Design, develop, and deploy LLM and ML based AI solutions into production
• Build and maintain RAG pipelines, prompt orchestration workflows, and AI-driven automation systems
• Develop scalable inference services, APIs, and integration layers
• Investigate and resolve complex system and data challenges across AI pipelines, diagnosing root causes and implementing robust solutions
• Define and implement evaluation frameworks to assess AI performance, reliability, and business impact
• Integrate AI systems with cloud data platforms and enterprise applications
• Partner with business stakeholders to translate operational challenges into structured, measurable AI solutions
• Contribute to architectural decisions that ensure scalability, maintainability, and clear system boundaries
• Uphold strong engineering standards, documentation practices, and reproducibility across AI systems

Applied AI Engineer

• Own the end-to-end SAP test strategy, including regression, integration, performance, and user acceptance testing across all SAP modules and connected systems
• Design, build, maintain, and expand a robust automated test suite using Tricentis Tosca
• Collaborate with functional and technical SAP teams during requirements gathering and design
• Lead and coordinate testing activities across project workstreams
• Partner with ABAP developers, solution architects, and business analysts to triage defects
• Establish and enforce test standards, best practices, and documentation templates
• Drive continuous improvement in automation coverage, test execution speed, and overall QA maturity
• Mentor and guide team members and business testers on testing tools, methodologies, and quality best practices

SAP Quality and Automation Lead

Solutions Engineer

• Define and govern the overall application solution architecture
• Partner with business stakeholders and IT leadership to translate high-level requirements into architecture blueprints
• Lead architecture design sessions and solution workshops
• Evaluate, recommend, and oversee the adoption of new SAP capabilities
• Author and maintain architecture artifacts
• Serve as the technical authority and escalation point for SAP delivery teams
• Identify and address architectural risks and opportunities for process optimization

Enterprise Solutions Architect

Security Engineer

• Build and execute a multi ‑ year cybersecurity and resiliency strategy that fuels Parts Town’s growth and innovation.
• Own the enterprise cyber risk register and align it with a maturing ERM program.
• Lead cybersecurity policies and controls grounded in integrity and aligned to NIST/ISO.
• Define a modern, resilient security architecture across cloud , on - prem , ERP, identity, network, and endpoints.
• Own IAM, SSO, MFA, and privileged access management (PAM).
• Lead enterprise threat detection, monitoring, and incident response capabilities.
• Own third-party and vendor security risk management.

Vice President of Cybersecurity

Risk

• Design, implement, and operate data governance processes and master data solutions across the enterprise
• Drive domain-level MDM (e.g., Customer, Product, Vendor, Location) including survivorship rules, match/merge, golden record creation, and hierarchy management
• Define and execute data stewardship processes; triage master data issues and change requests
• Establish policies, standards, and controls for data quality, metadata, lineage, and access
• Define business glossaries, data definitions, and critical data elements (CDEs)
• Participate in governance councils and run working groups; track adoption and compliance KPIs
• Design and implement data quality rules, profiling, and monitoring dashboards for priority data domains
• Coordinate issue management and remediation with data owners and engineering teams
• Implement preventative/automated checks and SLAs for data reliability across pipelines
• Integrate metadata, lineage, and DQ workflows with GCP-native tools such as Dataplex and/or governance platforms (e.g., Collibra/Alation)
• Collaborate with data engineering on ingestion, transformation, and model design aligned to governance standards
• Align governance and controls with regulatory requirements (e.g., GDPR/CCPA, SOX), security standards, and internal audit findings
• Support access reviews, data retention/archival, and sensitive data handling (PII/PHI)
• Build training, playbooks, and communications to drive adoption of governance processes
• Contribute to enterprise initiatives and participate in cross-functional projects to ensure data governance requirements are embedded in system implementations and process changes
• Collaborate with Enterprise Architecture to establish and operationalize core MDM capabilities, including governance, data quality controls, and domain stewardship.

MDM Data Governance Analyst

Backend Engineer

• Design, architect, and optimize scalable microservices that power eCommerce and enterprise platforms.
• Drive backend architecture and ensure seamless integration across systems like commerce, CMS, ERP, PIM, and marketing.
• Champion best practices in modularization, API design, and event-driven architectures.
• Leverage Node.js, TypeScript, Docker, Kubernetes, and serverless technologies to create secure, high-performance services.
• Own backend engineering policies, CI/CD pipelines, and testing automation to ensure reliable deployments.
• Define logging, observability, and disaster recovery strategies, ensuring high availability.
• Collaborate with frontend, DevOps, and data teams to optimize system performance.
• Mentor engineers and contribute to architectural decisions.

Principal Backend Engineer – Hybrid

Software Engineer

• Develop, enhance, debug, support, maintain, and test SAP ABAP software solutions that support the S/4 HANA and GTS business systems.
• Involved in all aspects of providing solutions from design and development to implementation.
• Interface with the business team, comprising of business process owners, analysts, and functional engineers to understand data requirements.
• Perform data profiling / analysis activities that will help establish, modify, and maintain data models.
• Support review, sign-off and adoption of data models in collaboration with global business users, architecture, and delivery teams.
• Create and maintain technical documentation.
• Contribute to process automation and performance improvements.
• Ensure security and compliance with governance policies.
• Participate in testing (unit, integration, UAT) to ensure quality.

Senior SAP ABAP Developer

IT Support

• Review credit worthiness of current and potential customers
• Review orders to determine potential risk for fulfillment
• Engage with customers through phone calls and emails
• Process credit applications and daily order review queues
• Manage rejected/returned emailed statements and update customer contact information
• Solve problems quickly to collect cash from revenue regularly

Credit Specialist

Financial Planning and Analysis

• Act as the primary finance partner to the PMO on cross functional enterprise transformation initiatives
• Embed financial discipline into program governance, business cases, milestones, and benefits realization tracking
• Support prioritization and sequencing of transformation initiatives based on financial impact and resource capacity
• Lead financial modeling, cross-charge and ROI analysis, and scenario planning for strategic initiatives
• Translate complex financial data into clear insights for executive decision-making
• Track and report on value creation, cost savings, productivity gains, and margin improvement
• Partner with Finance, Accounting, Operations, IT, and other functions to redesign processes and improve scalability
• Serve as a trusted advisor to senior leaders across the organization
• Drive alignment across functions and ensure accountability for financial outcomes

Director, Finance

Account Manager

• Develop and maintain relationships with customers through account penetration, sales, and marketing activities
• Achieve goals by building a business plan to maximize profitable growth
• Build communication and other tools with marketing to increase sales
• Create new business building opportunities
• Lead a book of key chain restaurant partnerships and their franchise networks through new business prospecting, exceptional relationship development, and ambitious growth strategies
• Grow a large book of retail accounts by strengthening existing relationships and uncovering new opportunities
• Engage regularly with mid-tier to C-suite leaders through focused outreach (around 20 calls/day) and strategic in-person visits
• Travel to see customer operations firsthand, build trust, and present value propositions and digital tools
• Partner with internal teams while independently driving your own pipeline, prioritizing warm leads, and growing your book of accounts