GTM Lead for Gemini

GTM Lead for Gemini Overview: The GTM Lead for Gemini Partnership is responsible for activating and scaling NTT DATA's global go-to-market motion with Gemini. This role owns the strategic partnership plan (the partner plan will be owned by alliances - gtm team will build a sales/gtm plan to align with the partnership plan), translates it into specific GTM actions, and coordinates internal pipeline, client opportunities, technical enablement (sales enablment - yes, tech enablment will be with practice and coe) and field activation. The ideal candidate combines partnership (sales and market activation) discipline with hands-on AI fluency, strong technical curiosity, and the ability to make Gemini capabilities (solutions and offerings) practical for clients, sellers, consultants, architects, and delivery teams. Key Responsibilities: - Own and maintain the strategic GTM plan for the Gemini partnership, including priorities, target accounts, industry plays, activation milestones, and success measures. - Translate the partnership strategy into specific GTM actions, including campaigns, account plays, executive briefings, workshops, demos, proof-of-concept motions, and co-sell activities. - Drive and coordinate Gemini-related opportunities and pipeline across Geo, Industry, AI Consulting, Architecture, FDE, Large Deal Sales, Marketing, Delivery, and partner teams. - Identify high-potential client use cases where Gemini capabilities can create differentiated enterprise value, including agentic workflows, knowledge work automation, software engineering, customer operations, risk-sensitive AI, and regulated industry use cases. - Develop and maintain Gemini-specific GTM assets, including pitch materials, solution narratives, enablement content, demo concepts, qualification guidance, value propositions, and client-facing proof points. - Partner with AI Architects and FDEs to translate Gemini capabilities into practical solution patterns, demos, prototypes, and scalable implementation approaches. - Lead internal enablement for Gemini, including training paths, certification tracking, seller education, technical briefings, office hours, and field readiness programs. - Act as a hands-on technical translator for the field, helping teams understand Gemini model capabilities, product updates, use-case fit, implementation considerations, and responsible AI implications. - Coordinate partner governance, pipeline reviews, joint GTM cadences, opportunity reporting, and executive updates with Gemini and internal NTT DATA stakeholders. - Capture market feedback, client demand signals, technical gaps , and lessons learned to refine the Gemini partnership plan and improve repeatable GTM motions. Success Measures: - Gemini-influenced qualified AI pipeline generated or progressed. - Closed-won revenue or TCV from Gemini-supported AI opportunities. - Number and quality of activated account plays, client workshops, demos, POCs, and co-sell pursuits. - Training, certification, and enablement adoption across priority GTM and delivery teams. - Quality and reuse of Gemini-specific GTM assets, technical enablement materials, and solution patterns. Basic Qualifications: 10 + years of professional experience in gtm across a combination of AI, data,technology consulting, solution engineering, presales, GTM, partner activation, product strategy, or business development roles. - 2+ years of hands-on or applied experience with AI, GenAI, LLMs, AI agents, data science, machine learning, automation, or enterprise AI platforms. Experience may be demonstrated through client work, technical projects, certifications, a data science background, or an advanced degree. - Practical familiarity with Gemini, Claude, LLM application patterns, prompt engineering, RAG, agentic workflows, model evaluation, responsible AI, and enterprise AI adoption considerations. - Experience translating technical capabilities into GTM plays, client value propositions, enablement materials, demos, or sales motions. - Experience coordinating cross-functional stakeholders across sales, consulting, architecture, engineering, delivery, marketing, and partner teams. - Bachelor's degree or equivalent work experience. Preferred Skills: - Master's degree, data science degree, AI/ML certification, cloud certification, or equivalent practical AI experience. - Experience with cloud, data, and AI platforms such as AWS, Google Cloud, Azure, Databricks, Snowflake, vector databases, orchestration frameworks, and LLMOps tooling. - Experience supporting enterprise clients in regulated, complex, or security-conscious environments. - Strong builder mindset, structured problem solving, written communication, technical learning agility, attention to detail, ownership, and comfort operating in ambiguous high-growth environments. - Ability to travel as required for client, partner, and internal engagements.