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NTT Data

Global IT services and consulting provider.

Managing Director - Forward Deployed Engineering, Remote

Engineering LeadershipUpdated on Nov 14
Full-timePlano, TX, USA

About the Job

Requirements

  • At least 15 years of experience in engineering, field engineering, solution architecture, enterprise platforms, AI/data products, product engineering, or technical delivery leadership.
  • Experience leading technical teams at scale, ideally 15–30 engineers or equivalent.
  • Strong technical fluency across AI, generative AI, agentic workflows, data platforms, cloud architecture, application programming interfaces, integrations, enterprise applications, and software delivery.
  • Proven ability to work directly with senior client, business, and technology stakeholders in complex enterprise environments.
  • Experience translating ambiguous business problems into practical, deployable technical solutions.
  • Strong understanding of how field-built solutions can become scalable product capabilities.
  • Experience working across product, engineering, sales, delivery, architecture, security, and client teams.
  • Ability to build new operating models, delivery standards, team structures, and execution rhythms in a scaling environment.
  • Executive presence and ability to influence across a global, matrixed organization.

Responsibilities

  • Build and lead a high-impact Forward Deployed Engineering team of up to 20 engineers, combining AI engineering, solution architecture, industry and domain expertise, and client-facing technical credibility.
  • Define the Forward Deployed Engineering operating model, including engagement rules, delivery standards, escalation paths, handoff models, and interfaces with product, engineering, sales, industry, and delivery teams.
  • Deploy Forward Deployed Engineering teams into priority client and industry opportunities to shape AI solution hypotheses, prototypes, minimum viable products, pilots, and production deployments.
  • Partner closely with the Executive, AI Solutions Product Leader to translate field learning into product roadmap recommendations, reusable platform capabilities, and productization opportunities.
  • Work with Product Engineering to move validated field solutions into scalable, secure, enterprise-ready product capabilities.
  • Support strategic pursuits and executive client conversations by providing technical credibility, solution clarity, demonstrations, prototypes, and deployment plans.
  • Establish reusable deployment patterns, reference architectures, templates, integration assets, and solution playbooks to reduce bespoke delivery and improve speed to value.
  • Promote a 70% standardized and 30% configurable model for AI Service-as-Software offerings to improve repeatability, scalability, and margin potential.
  • Recommend Forward Deployed Engineering deployment priorities based on client demand, strategic value, product learning potential, technical feasibility, and commercial relevance.
  • Track field impact through metrics such as deployment quality, time to prototype, time to client value, reusable patterns created, productization candidates identified, client feedback, deployment repeatability, and team health.

Desired Qualifications

  • Experience in Forward Deployed Engineering, field engineering, solutions engineering, platform engineering, technical product leadership, or enterprise AI delivery.
  • Experience in a global systems integration, consulting, enterprise software, software-as-a-service, cloud, or AI platform environment.
  • Experience with Service-as-Software, productized services, or platform-led delivery models.
  • Experience building repeatable deployment patterns from client-specific implementations.
  • Experience partnering with product and engineering leaders to convert field learning into roadmap priorities and scalable product capabilities.

About the Company

NTT Data

Global IT services and consulting provider.

NTT DATA is a global IT and business services provider that helps organizations run and transform their technology and operations. It delivers consulting, industry solutions, cloud migration, cybersecurity, data analytics, and managed services to modernize systems and processes. It differentiates itself through its large scale, deep sector expertise in banking, healthcare, manufacturing, public sector, and automotive, and its broad ecosystem of partners with Microsoft, SAP, AWS, and Salesforce. Its goal is to help large enterprises digitally transform and optimize operations at scale using cloud-native approaches and secure IT environments.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1988

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