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AI Solutions Director- Central Region

Job in Omaha, Douglas County, Nebraska, 68197, USA
Listing for: World Wide Technology
Full Time position
Listed on 2026-05-20
Job specializations:
  • Engineering
    AI Engineer, Operations Manager
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Enterprise AI Strategy & GTM Execution – AI Solutions Director

WWT’s Enterprise AI Strategy & GTM Execution team is at the center of WWT’s AI transformation, responsible for leading the company’s go-to-market motion across the full AI solution stack—from infrastructure and platforms to consulting, advisory, and managed services.

As part of this team, the AI Solutions Director plays a critical leadership role, owning the performance of 2–3 AI POD teams and serving as the primary bridge between WWT’s enterprise AI capabilities and the customers who need them most.

What will you be doing?

The AI Solutions Director is WWT’s frontline AI leadership role, responsible for guiding and managing 2–3 AI POD teams within an assigned business unit. Reporting directly to the SVP of Enterprise AI Strategy & GTM Execution, this is a player-coach position that balances team leadership with direct personal engagement in the most complex, high-value customer pursuits. Each AI POD is composed of three dedicated roles—a AI Solutions Executive, an AI Solutions Architect, and an AI Services Consultant—working in concert to generate pipeline, win opportunities, and drive AI adoption across WWT’s enterprise account base.

The AI Solutions Director owns overall POD performance including pipeline health, forecast accuracy, margin attainment, and revenue growth across all assigned PODs.

Responsibilities
  • Lead and manage 2–3 AI PODs within the assigned business unit with direct accountability for team performance, including pipeline growth, win rates, revenue attainment, and margin targets.
  • Set clear performance expectations for AI Solutions Executives, Solutions Architects, and Services Consultants; provide ongoing coaching, feedback, and development support to build a high-performing team.
  • Run a structured weekly AI GTM operating cadence across all PODs: pipeline reviews, deal stage progression, resource allocation decisions, and forecast submissions.
  • Maintain rigorous pipeline governance standards: accurate CRM hygiene, realistic stage-gating, clear next-step accountability, and consistent documentation of deal health and risk factors.
  • Engage directly and personally in the most strategic customer pursuits within the assigned business unit, leading IT and line-of-business executive conversations for complex, multi-stakeholder engagements.
  • Lead or co-lead executive briefings, AI strategy sessions, and high-stakes proposal presentations where customer relationships or deal sizes require Director-level involvement.
  • Coordinate the deployment of shared resources — Industry Advisors, AI Development Specialists, Executive Advisors, and SC&E teams — into POD-level pursuits based on account complexity, vertical alignment, and deal stage.
  • Partner with OEM-embedded resources from NVIDIA, Dell, Cisco, HPE, and AI Native Engineering partners on BU-level joint pipeline planning, co-sell execution, and partner program utilization.
  • Work closely with Regional Sales, Engineering, and Services leadership to ensure AI POD resources are fully integrated into regional account planning, territory strategy, and field sales team activities.
  • Build strong, trust-based working relationships with Regional Vice Presidents and senior field managers, establishing the AI POD as a valued resource that field teams actively leverage in opportunities.
  • Foster a collaborative, accountable, and high-energy POD culture where team members support one another, share intelligence, and consistently execute with discipline.
  • Partner with HR and talent acquisition to support hiring decisions for POD roles, ensuring new team members meet the skill and culture standards required to contribute quickly.
Qualifications
  • Minimum 12 years of enterprise technology sales experience, including demonstrated success in quota-carrying roles with consistent attainment or over achievement.
  • Minimum 3 years of sales management or team leadership experience, with direct accountability for the performance of quota-carrying sales professionals.
  • Proven track record of building and developing high-performing sales teams, with specific experience coaching pipeline generation, consultative selling, and…
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