AI Delivery Executive
- Source: LinkedIn
- NTT DATA North America
- Remote
- Plano
- Full-Time
- Mid level
Job Description
As an AI Delivery Executive, you will lead delivery and growth across a portfolio of strategic client engagements, serving as the senior AI delivery leader responsible for client outcomes, delivery quality, financial performance, and transformation success.
You will partner closely with Client Executives, AI Go-to-Market leaders, Solution Architects, and Technical Leaders to ensure AI programs are delivered successfully, create measurable business value, and position NTT DATA as a trusted transformation partner. You will help clients move from AI strategy and experimentation to scaled enterprise adoption by leading multidisciplinary teams across consulting, data, engineering, architecture, product, and operations.
This role combines client leadership, delivery excellence, commercial acumen, and AI transformation expertise. Success requires the ability to build trusted executive relationships, oversee complex programs, develop high-performing teams, identify growth opportunities, and ensure delivery excellence while supporting broader account objectives.
Key Responsibilities
- Serve as the senior AI Delivery lead for assigned strategic accounts and transformation programs, accountable for delivery quality, client satisfaction, business outcomes, and value realization.
- Build trusted relationships with senior client stakeholders including CIOs, CTOs, CDOs, business leaders, and transformation executives.
- Lead complex AI transformation programs from strategy through implementation, adoption, operationalization, and value realization.
- Establish effective governance structures, executive steering committees, delivery reviews, risk management practices, and performance reporting.
- Proactively identify delivery, technical, commercial, resourcing, and stakeholder risks and drive mitigation plans before issues impact outcomes.
- Lead escalation management and recovery efforts for challenged or at-risk engagements.
- Manage a portfolio of AI engagements with accountability for delivery performance, revenue attainment, resource utilization, forecast accuracy, and margin performance.
- Ensure engagements are delivered within agreed scope, timeline, quality, and commercial commitments.
- Identify and address margin leakage, scope creep, delivery inefficiencies, and resource imbalances.
- Partner with account leadership to support financial planning, forecasting, staffing strategies, and investment decisions.
- Partner with Client Executives and AI GTM leaders to understand client priorities, account strategies, and growth objectives.
- Identify new client opportunities through delivery proximity, executive engagement, and deep understanding of business challenges.
- Support account growth through discovery workshops, executive discussions, proposal reviews, solution shaping, and transformation planning.
- Provide delivery and practitioner insight that strengthens pursuits, improves solution quality, and accelerates client adoption.
- Guide clients through AI-enabled business transformation, operating-model evolution, process redesign, and organizational adoption.
- Ensure AI programs incorporate responsible AI, security, governance, privacy, compliance, and risk management requirements.
- Champion production-grade AI delivery practices including testing, evaluation, observability, operational readiness, service transition, and lifecycle management.
- Collaborate closely with architecture, engineering, and product leadership to ensure solutions are scalable, secure, maintainable, and aligned to business objectives.
- Lead and mentor multidisciplinary delivery teams across onshore, nearshore, offshore, and partner organizations.
- Develop future delivery leaders through coaching, mentoring, and performance management.
- Support workforce planning and talent acquisition efforts to ensure capability alignment with client demand.
- Foster a culture of accountability, collaboration, innovation, and delivery excellence.
Basic Qualifications
- Bachelor’s degree or equivalent professional experience.
- 12+ years of experience in technology consulting, enterprise delivery, professional services, digital transformation, or related fields.
- 5+ years leading large-scale transformation programs, portfolios, or strategic client engagements.
- Demonstrated experience delivering AI, data, cloud, digital, applications, or enterprise technology transformation initiatives within professional services.
- 5+ year…
Skills
- microsoft-azure
- amazon-web-services
- google-cloud-platform
