Director of Domain Sales Engineering

Insight Global•Dunwoody, GA

About The Position

The Director of Customer Solution Engineering leads and scales a team of approximately eight Customer Solution Engineers (CSEs) working across domain consulting, pre-sales solutioning, and hands-on technical architecture. The role owns technical deal leadership, solution quality, and team effectiveness across complex, transformation-driven client engagements. It ensures opportunities are shaped early, solutions are differentiated and feasible, and transitions from pre-sales to delivery are seamless. The Director also serves as the senior technical partner to Account CTOs within Insight Global. The role combines team leadership and capability development with domain-led client advisory, pre-sales and deal leadership, and solution architecture oversight. It sets standards and architectural guardrails, guides teams through opportunity shaping and technical validation, and supports clear transitions to delivery. For select strategic engagements, the Director may remain involved in early delivery to stabilize outcomes.

Requirements

  • 15+ years of experience in solution engineering, consulting, or technical leadership roles.
  • 5+ years leading or managing senior technologists, architects, or pre-sales teams.
  • Proven experience operating in customer-facing, deal-driven environments.
  • Comfort operating amid ambiguity, incomplete requirements, and high-stakes client situations.
  • Strong depth across cloud, data, APIs, and AI/ML, with domain expertise in one or more specified industries.
  • Industry domain expertise in telecommunications, including OSS/BSS, RAN, IP networks, network operations, or field services; banking and financial services, including core banking, payments, cards, retail banking, clearing, settlement, capital markets, fraud, risk, or event-driven resilient architectures; or utilities, including grid operations, Meter-to-Cash, or field operations.
  • Strong hands-on experience with cloud platforms such as Azure, AWS, or GCP.
  • Strong hands-on experience with APIs, microservices, and integration patterns.
  • Strong hands-on experience with data platforms, including ETL, streaming, and analytics.
  • Applied understanding of AI/ML and GenAI use cases.
  • Applied understanding of event-driven and distributed system architectures.
  • Applied understanding of security, compliance, and operating in regulated environments.

Responsibilities

  • Lead, coach, and scale a team of Customer Solution Engineers across multiple accounts and domains.
  • Set quality standards for solution design, scoping rigor, and technical storytelling.
  • Develop team capabilities in domain expertise, architecture depth, and hands-on engineering.
  • Mentor team members on client engagement strategy, executive presence, and complex deal navigation.
  • Establish reusable accelerators, demos, reference architectures, and best practices.
  • Partner with leadership on hiring, onboarding, performance management, and workforce planning.
  • Bring deep expertise to opportunity shaping and solution definition.
  • Guide teams in translating client business processes, legacy systems, and constraints into viable architectures.
  • Identify transformation opportunities aligned with client KPIs, cost reduction, resilience, and growth.
  • Build trusted-advisor relationships with client stakeholders from operators to C-suite.
  • Influence client roadmaps and modernization strategies beyond the immediate deal.
  • Partner with Account CTO leadership to drive proactive opportunity creation.
  • Provide senior technical oversight for complex deals and ensure solutions are differentiated and defensible.
  • Guide teams through architecture definition, scoping, risk identification, and feasibility validation.
  • Review and elevate POCs, demos, and pilots to ensure they demonstrate business and technical value.
  • Support proposal strategy, pricing inputs, delivery assumptions, and risk mitigation.
  • Serve as an escalation point for complex technical objections or competitive situations.
  • Set architectural guardrails to ensure solutions are production-ready, scalable, and secure.
  • Review and validate designs across cloud, data, integration, and AI/ML domains.
  • Ensure technical consistency between pre-sales solutioning and delivery execution.
  • Drive clean handoffs to delivery teams with clear context, documentation, and success criteria.
  • Remain engaged through early delivery in select strategic engagements to stabilize outcomes.
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