AI GTM Lead

NTT DATA North America; Charlotte (NC); On-site; USD 183,000 - 187,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

FSA/HSA

AD&D insurance

401k program

Employee assistance

Job summary

NTT DATA North America is seeking an Al Go to Market Lead to advance enterprise AI capabilities, integrate innovations into products, and drive adoption across on-premises and cloud environments. You will bridge product, engineering, and business stakeholders while shaping go-to-market strategies for platform capabilities.

You will lead cross-functional partnerships, orchestrate platform releases, and enable teams with onboarding, training, and documentation to embed AI into development

Qualifications

• 7+ years AI solutions experience.
• 3+ years product/solution mgmt for AI/ML platforms or cloud-native solutions
• 3+ years hands-on experience with cloud technologies (Azure, AWS, or Google Cloud) and container orchestration (Docker, Kubernetes/OpenShift)

Responsibilities

• Advise senior leadership to build a large cross-functional team for AI initiatives across the business
• Provide consultation to leaders to solve business challenges
• Lead strategy and resolution of complex challenges to ensure benefits are delivered
• Evaluate tech readiness, data availability, and resources for proposed AI solutions
• Guide on issues arising during development or implementation
• Develop relationships with clients to create a pipeline of AI opportunities
• Collaborate with peers to resolve issues and achieve goals

Skills

AI/ML leadership

Go-to-market

Cross-functional collab

Executive comms

Cloud technologies

MLOps/LLMOps

Stakeholder mgmt

Tools

Azure

Google Cloud

Kubernetes/OpenShift

Job description

Ability to work onsite in one of the following locations, San Francisco Bay Area, CA; Charlotte, NC; Dallas, TX; Phoenix, AZ; New York City, NY.

Job Description

Seeking an Al Go to Market Lead to support Corporate Strategy, Digital Platforms & Innovation, working to advance enterprise Al capabilities and accelerate the integration of cutting-edge innovation into customer-facing products and internal platforms. You will drive the adoption and delivery of enterprise AL/ML capabilities across the organization. In this role, you will serve as the critical bridge connecting product, engineering. end users, and line-of-business stakeholders.

You will shape the go-to-market strategy for All platform capabilities, driving the adoption of machine learning and predictive Al solutions across both on-premises and cloud environments. Success in this role requires delivering clear guidance, scalable enablement, and strong cross-functional partnerships to support emerging capabilities and maximize value. You will lead platform releases and feature rollouts across business and technology domains, coordinating closely with product and engineering teams to manage technical dependencies, risks, and escalations. Additionally, you will orchestrate onboarding, training, documentation, and support programs that enable teams to seamlessly integrate Al into their development workflows. Maintaining a deep understanding of customer workflows, you will gather insights that inform roadmap priorities, enhance usability, and establish scalable platform patterns. You will also ensure readiness and compliance across governance, security, and responsible Al frameworks. Finally, you will deliver executive-ready communications that highlight adoption trends, business impact, and quality metrics-championing a feedback-driven, customer-centric go-to-market approach that accelerates time to value and scales Al success across the organization.

In this role, you will

• Act as an advisor to senior leadership in developing a large cross functional team to identify and execute complex antiticial intelligence initiatives that span a large line of business
• Provide consultation to more experienced leaders in order to recommend solutions which solve business challenges
• Lead the strategy and resolution of highly complex challenges ensuring the solution delivers the intended benefits
• Leverage Artificial Intelligence expertise to evaluate technological readiness, data availability, and resources required to execute the proposed solutions
• Provide direction on key issues which may arse during development or implementation
• Cultivate relationships with clients to identify and develop a pipeline of future Artificial Intelligence opportunities which align with the strategic priorities of the business
• Collaborate and consult with peers, colleaguas, and managers to resolve issues and achieve goals

Required Qualifications

• 7+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years experience across product/solution management, program delivery, or technical product ownership for Al/ML platforms, or cloud-native solutions
• 3+ years hands on experience with cloud technologies (GP, or Azure) and container orchestration (Docker, Kubernetes/OpenShift)

Desired Qualifications

• 5+ years of experience across the Al/ML lifecycle, including data management, feature engineering, model development, deployment, monitoring/observability, and model governance and risk management
• Proven experience operating within large enterprise environments (regulated industry experience preferredi and building scalable, production-grade platforms
• Hands on expertise with Generative Al and agentic Al frameworks, including LLMs. diffusion models, RAG, and tool-based agents; familiarity with ecosystems such as Azure OpenAl, Hugeing Face, LangChain/LangGraph, ADk, and vector databases
• Strong experience with MLOps/LLMOps practices and tooling, including model registries, CI/CD pipelines, feature stores, prompt and chain versioning. evaluation frameworks, guardrails, and monitoring
• Exceptional communication skills with the ability to translate complex technical concepts into clear, actionable insights and influence senior stakeholders
• Working knowledge of modern Al/ML platform components and services, such as Vertex Al, BigQuery, OpenShift, IBM Cloud Pak for Data (CP4D), and distributed model execution platforms
• Demonstrated ability to develop and execute executive-level roadmaps and dashboards that clearly articulate business impact, adoption trends, and risk posture
• Deep technical acumen with the ability to engage at a detailed level across APls, SDKs, security controls, data contracts, and system performance
• Strong negotiation, stakeholder management, and cross-functional leadership capabilities, with a track record of driving alignment and outcomes across diverse teams

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is [88 - 90 $ W2 hourly range]. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

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