AI Go-to-Market Lead

We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We need to parse the posting. Company Overview: includes Req ID etc. Should we include? The instruction: do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

or drop it. So we can include a short paragraph with company overview maybe. We need sections: About the role (maybe from Job Description intro). Responsibilities (list of duties). Requirements (maybe Required Qualifications). Qualifications (maybe Desired Qualifications). Skills (maybe from desired qualifications). Benefits, Pay, Schedule: none present, so omit. We must preserve all substantive information, not invent. Let's extract: Company Overview paragraph: "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 a AI Go-to-Market Lead to join our team in Charlotte, North Carolina (US-NC), United States (US)." We could include that as a

maybe under a heading? Not required heading. Could just be a

before sections. Job Description: multiple paragraphs describing role. We'll need to split into About the role (overview) and Responsibilities (list). Let's parse. Job Description text: "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 willAct 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 businessProvide consultation to more experienced leaders in order to recommend solutions which solve business challengesLead the strategy and resolution of highly complex challenges ensuring the solution delivers the intended benefitsLeverage Artificial Intelligence expertise to evaluate technological readiness, data availability, and resources required to execute the proposed solutionsProvide direction on key issues which may arse during development or implementationCultivate relationships with clients to identify and develop a pipeline of futureArtificial Intelligence opportunities which align with the strategic priorities of the businessCollaborate and consult with peers, colleaguas, and managers to resolve issues and achieve goals" We need to separate responsibilities as bullet list. Let's extract each duty sentence. List of responsibilities: - Drive the adoption and delivery of enterprise AI/ML capabilities across the organization. - Serve as the critical bridge connecting product, engineering, end users, and line-of-business stakeholders. - Shape the go-to-market strategy for all platform capabilities, driving the adoption of machine learning and predictive AI solutions across both on-premises and cloud environments. - Deliver clear guidance, scalable enablement, and strong cross-functional partnerships to support emerging capabilities and maximize value. - 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. - Orchestrate onboarding, training, documentation, and support programs that enable teams to seamlessly integrate AI into their development workflows. - Maintain a deep understanding of customer workflows, gather insights that inform roadmap priorities, enhance usability, and establish scalable platform patterns. - Ensure readiness and compliance across governance, security, and responsible AI frameworks. - Deliver executive-ready communications that highlight adoption trends, business impact, and quality metrics; champion a feedback-driven, customer-centric go-to-market approach that accelerates time to value and scales AI success across the organization. - Act as an advisor to senior leadership in developing a large cross-functional team to identify and execute complex AI 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 arise during development or implementation. - Cultivate relationships with clients to identify and develop a pipeline of future AI opportunities which align with the strategic priorities of the business. - Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals. Now 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)" We can list as bullet list under Requirements or Qualifications? The instruction: Use headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to decide which content goes where. Typically: About the role = overview paragraph. Responsibilities = list of duties. Requirements = required qualifications. Qualifications = desired qualifications? Or maybe Qualifications = both required and desired? But we have separate headings for Requirements and Qualifications. We'll put Required Qualifications under Requirements heading. Desired Qualifications under Qualifications heading. Skills maybe from desired qualifications? But we could also put skills under Skills heading if we extract skill statements. However desired qualifications already include many skill-like items. Could treat Qualifications as desired qualifications and Skills as maybe a subset? But we risk duplication. Better to follow: Requirements = required qualifications. Qualifications = desired qualifications. Skills maybe not needed if we already covered. But we could still create Skills section if we have explicit skill statements not covered elsewhere. The desired qualifications include many skill items: "Proven experience operating within large enterprise environments...", "Hands-on expertise with Generative AI and agentic AI frameworks...", "Strong experience with MLOps/LLMOps practices...", "Exceptional communication skills...", "Working knowledge of modern AI/ML platform components...", "Demonstrated ability to develop and execute executive-level roadmaps...", "Deep technical acumen...", "Strong negotiation, stakeholder management, and cross-functional leadership capabilities...". These are more like qualifications/skills. Could put them under Skills heading. But we already have Qualifications heading for desired qualifications. Might be redundant. The instruction: Prefer a few substantive sections over many thin ones. So we could combine desired qualifications into Qualifications section and not create Skills. Or we could put the skill-like bullet points under Skills and keep Qualifications for something else (maybe education?). But we don't have separate education. Thus I'll do: About the role (overview paragraph), Responsibilities (bullet list), Requirements (required qualifications bullet list), Qualifications (desired qualifications bullet list). Omit Skills, Benefits, Pay, Schedule. Now need to ensure we don't include filler like "commensurate with experience". Not present. Now produce HTML fragment:

Company overview paragraph.

About the role

Overview paragraph from job description (maybe first few sentences). Actually we already used company overview separate. About the role could be a summary of role: maybe the first paragraph of job description: "You will drive the adoption and delivery of enterprise AI/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 AI 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." We can put that as

under About the role. Then Responsibilities

• ... etc. Then Requirements
  • ... etc. Then Qualifications
    • ... etc. Make sure to preserve all substantive information: include all bullet points we extracted. Check for any missing details: The company overview also includes location Charlotte, North Carolina (US-NC), United States (US). We included that. Also note there is a line: "NTT DATA is a $30 billion trusted global innovator..." that's in About NTT DATA section after qualifications. That's also substantive. Should we include? It's about the company, could be part of company overview. We can add another paragraph after company overview: "NTT DATA is a $30 billion trusted global innovator of business and technology services..." etc. That is substantive. So include as

      maybe after company overview. Also there is accessibility statement and EEO etc which we should remove as boilerplate. So we drop those. Thus final HTML:

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

      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.

      About the role

      You will drive the adoption and delivery of enterprise AI/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 AI 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.

      Responsibilities

      • Drive the adoption and delivery of enterprise AI/ML capabilities across the organization.
      • Serve as the critical bridge connecting product, engineering, end users, and line-of-business stakeholders.
      • Shape the go-to-market strategy for all platform capabilities, driving the adoption of machine learning and predictive AI solutions across both on-premises and cloud environments.
      • Deliver clear guidance, scalable enablement, and strong cross-functional partnerships to support emerging capabilities and maximize value.
      • 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.
      • Orchestrate onboarding