AI Go-to-Market Lead

Title: AI Go-to-Market Lead
End Date: Oct 2027 with chances of extension
Location: Charlotte, NC (Hybrid)
Alternate Locations: Minneapolis, MN | Phoenix, AZ
Visa: Independent visa and H1B Transfer are also fine

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, apply now.

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

Job Description

• Drive the adoption and delivery of enterprise AI/ML capabilities across the organization, serving as the bridge between product, engineering, end users, and business stakeholders.
• Shape the go-to-market strategy for AI platform capabilities and accelerate adoption of machine learning and predictive AI solutions across on-premises and cloud environments.
• Lead platform releases and feature rollouts, managing dependencies, risks, escalations, onboarding, training, documentation, and support programs.
• Gather customer insights to influence roadmap priorities, improve platform usability, and establish scalable platform practices.
• Ensure compliance with governance, security, and responsible AI frameworks.
• Deliver executive-level communications highlighting adoption trends, business impact, and quality metrics.

In This Role, You Will

• Act as an advisor to senior leadership in identifying and executing complex AI initiatives across large business units.
• Provide strategic consultation and recommend solutions to business challenges.
• Lead the resolution of highly complex challenges and ensure successful outcomes.
• Evaluate technology readiness, data availability, and resource requirements for AI initiatives.
• Provide direction on key issues during development and implementation.
• Build relationships with stakeholders to identify future AI opportunities aligned with business priorities.
• Collaborate with peers, colleagues, and managers to resolve issues and achieve goals.

Required Qualifications

• 7 years of experience in Artificial Intelligence Solutions, or equivalent combination of work experience, training, military experience, or education.
• 3 years of experience in product/solution management, program delivery, or technical product ownership for AI/ML platforms or cloud-native solutions.
• 3 years of hands-on experience with cloud technologies (Google Cloud Platform or Azure) and container orchestration platforms such as Docker and Kubernetes/OpenShift.

Desired Qualifications

• 5 years of experience across the AI/ML lifecycle, including data management, feature engineering, model development, deployment, monitoring, observability, governance, and risk management.
• Experience operating within large enterprise environments, preferably in regulated industries, and building scalable production-grade platforms.
• Hands-on expertise with Generative AI and agentic AI frameworks, including LLMs, diffusion models, RAG, tool-based agents, Azure OpenAI, Hugging Face, LangChain/LangGraph, ADK, and vector databases.
• Strong experience with MLOps/LLMOps practices, 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 actionable business insights.
• Working knowledge of modern AI/ML platform technologies such as Vertex AI, Big Query, OpenShift, IBM Cloud Pak for Data (CP4D), and distributed model execution platforms.
• Ability to create executive-level roadmaps and dashboards showcasing business impact, adoption trends, and risk posture.
• Strong technical acumen across APIs, SDKs, security controls, data contracts, and system performance.
• Excellent stakeholder management, negotiation, and cross-functional leadership skills with a proven track record of driving alignment and outcomes across diverse teams.