AI Go-to-Market Lead

NTT Data Americas, Inc.; Charlotte (NC); On-site; USD 180,000 - 240,000; Full time

Job summary

NTT DATA is seeking an AI Go-to-Market Lead to join our Charlotte, NC team. You will drive adoption of enterprise AI/ML capabilities, bridge product, engineering, end users, and business stakeholders, and shape go-to-market strategy across on-prem and cloud environments.

You will coordinate platform releases, onboarding, training, and governance readiness, delivering executive-ready communications to accelerate value and scale AI across the organization.

Qualifications

• 7+ years of Artificial Intelligence Solutions experience or equivalent.
• 3+ years in product/solution management, program delivery, or technical product ownership for AI/ML platforms.
• 3+ years hands-on experience with cloud technologies (GCP or Azure) and container orchestration.

Responsibilities

• Drive adoption and delivery of enterprise AI/ML capabilities across the organization.
• Shape go-to-market strategy for platform capabilities and AI solutions across on-prem and cloud environments.
• Lead platform releases and feature rollouts with product and engineering teams.
• Orchestrate onboarding, training, documentation, and support programs for AI integration into development workflows.
• Deliver executive-ready communications highlighting adoption trends, impact, and risk.

Skills

AI Solutions

Product ownership

Cloud platforms (GCP/Azure)

Docker/Kubernetes

MLOps/LLMOps

Executive communications

Tools

Vertex AI

BigQuery

OpenShift

Kubernetes

Job description

Company Overview:

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization.

We are currently seeking a AI Go-to-Market Lead to join our team in Charlotte, North Carolina (US-NC), United States (US).

Job Description:

• 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

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

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.