Vice President, Professional Services
Confirmed live in the last 24 hours
FourKites
Job Description
At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.
Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity.
We're seeking a transformational Vice President of Professional Services to build and lead our global professional services organization during a pivotal moment in our evolution. You'll create and scale a world-class team that delivers complex enterprise implementations spanning Order Visibility, Inventory Visibility, Transportation Management, and increasingly sophisticated AI-powered automation capabilities for Global 1000 companies.
Your team will manage end-to-end implementations involving multi-system integrations (ERP, OMS, WMS, TMS, YMS), AI feature deployments, and comprehensive change management—breaking down enterprise silos to create unified supply chain visibility and intelligent decision-making. This includes leading a team of Implementation and Project Managers who orchestrate complete order-to-delivery transformations.
This is a strategic leadership position reporting to the President of Product, Technology, and Operations, with accountability for service delivery excellence, team performance, and P&L outcomes. This reporting relationship ensures tight alignment between product capabilities, technical architecture, and service delivery execution—critical as we navigate the complexity of implementing AI-powered solutions alongside traditional enterprise integrations.
What you'll be doing:
Service Delivery & Financial Performance
- Drive time-to-value and value realization KPIs across complex enterprise implementations involving ERP systems (SAP, Oracle, Blue Yonder, Manhattan), order management, inventory optimization, and AI-powered automation
- Own P&L accountability for the professional services organization, balancing growth investment with operational efficiency as we scale both traditional and AI implementation capabilities
- Establish delivery standards for multi-system integrations and AI deployments that consistently exceed customer expectations while maintaining healthy margins
- Partner closely with Product and Engineering to translate implementation feedback into product enhancements and ensure service delivery readiness for new capabilities
Strategic Leadership
- Build comprehensive services strategy covering traditional implementations (Order Visibility, Inventory Visibility, Transportation Management) and emerging AI capabilities (agentic automation, intelligent exception management, predictive optimization)
- Develop scalable delivery methodologies for complex enterprise transformations that span order-to-cash and procure-to-pay processes across multiple supply chain systems
- Collaborate with Product, Engineering, Sales, and Customer Success to ensure seamless customer journeys and create feedback loops that inform product roadmap priorities
- Establish strategic partnerships with implementation partners and system integrators to extend delivery capacity across regions and technical domains
Organizational Development
- Build and scale specialized teams including Implementation Managers (orchestrating complete enterprise transformations), Integration Specialists (managing technical integrations), and Solution Architects
- Recruit talent with diverse skill sets spanning supply chain domain expertise, enterprise ERP implementation experience, AI/ML technical capabilities, and change management proficiency
- Create career progression paths that reflect evolution from traditional implementations to AI-centric deployments
- Foster high-performance culture focused on customer outcomes, technical innovation, cross-functional collaboration, and continuous learning
Operational Excellence
- Implement standardized delivery frameworks covering discovery, requirements, design, configuration, integration validation, UAT, training, go-live, and hypercare—adapted for both traditional and AI implementations
- Establish metrics measuring implementation success, AI adoption rates, data quality, integration performance, customer satisfa
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