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C&W DustTech engineers and manufactures dust collection equipment for heavy-industry environments where abrasive materials and airborne particulates affect safety and operations. Founded in 1978, the company serves sectors including mining, cement, aggregates, construction, and manufacturing with central, mobile, and silo dust collectors, plus related components designed to support cleaner, more efficient facilities.
Global Head of AI Deployment and Partner Delivery
Lead Dust’s global AI deployment organization and partner delivery network. Own enterprise transformation, customer adoption, delivery standards, and partner capability development.
Description
- Lead and expand Dust’s global AI Deployment organization
- Define team priorities, operating standards, planning processes, reporting, and execution rhythms
- Recruit, mentor, and develop deployment leaders and practitioners
- Establish role definitions, career paths, and regional or segment ownership
- Create a consistent deployment framework spanning discovery through handoff for Dust and partner teams
- Set ownership models for Dust-led and partner-led deployments, including transition processes
- Define deployment entry and exit requirements, go-live readiness reviews, and delivery-health metrics
- Lead delivery reviews, surface engagement risks, and remove deployment blockers
- Convert delivery insights into playbooks, templates, and reference architectures
- Oversee complex, strategic, and pioneering customer deployments through sustained adoption
- Help customer executives identify high-value AI-agent workflows
- Align executive, IT, security, and business stakeholders on objectives, use cases, and success metrics
- Develop change-management programs, communications, role-specific enablement, and adoption milestones
- Build AI operator and champion capabilities within customer organizations
- Measure post-launch adoption and transition accounts to Customer Success
- Evaluate partner delivery maturity and technical capabilities
- Create partner onboarding, training, certification, and train-the-trainer programs
- Co-deliver initial partner projects and support progression toward independent delivery
- Create a unified delivery model across Dust and its partners
Requirements
- At least six years leading and developing customer-facing deployment or delivery teams
- Experience working across multiple regions or customer segments during periods of rapid change
- Track record leading complex enterprise deployments or transformation programs with measurable customer outcomes
- Experience creating or substantially improving a deployment methodology, professional services model, or delivery function
- Experience managing organizational change alongside technology implementations
- Experience developing champion networks or adoption strategies that changed team behavior
- Understanding of how systems integrators, consultancies, and implementation partners staff, deliver, and scale practices
- Experience creating enablement or certification programs that build durable capabilities beyond directly managed teams
- Experience recovering engagements threatened by scope, staffing, technical complexity, or stakeholder misalignment
- Able to establish credibility with customer executives, partner leaders, and technical practitioners
- Willingness to travel to customers and partners when needed
- Practical understanding of AI agents, including prompting, context, tools, retrieval, evaluation, reliability, and cost
- Ability to evaluate integrations, data connectors, authentication, permissions, security, and production readiness
- Ability to design evaluations that connect AI performance with customer and business outcomes
Benefits
- Equity participation
- Commission opportunity
- Hybrid flexibility, including remote work from home when appropriate
- Collaborative in-person office environment
- Exposure to a globally distributed team
- Professional development through coaching, training, and certification program design
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