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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Managing Director of Data & AI - **Company:** NTT DATA Corporation - **Location:** Plano, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Technology Consulting, GEOS, OpenAI, Google Cloud, Snowflake, Agentic-AI, Databricks - **Published:** October 29, 2026 - **Apply:** https://careers-inc.nttdata.com/talentcommunity/apply/1444682000/?locale=en_US ## About the Role 15+ years of professional experience in strategy consulting, technology consulting, professional services, digital transformation, AI, data, analytics, or related client-facing leadership roles. - 8+ years of experience shaping or delivering enterprise AI, data, analytics, automation, or digital transformation programs, with demonstrated depth in GenAI, agentic AI, responsible AI, governance, and enterprise adoption. - 5+ years of experience leading a global or multi-region consulting practice, offering portfolio, capability, or go-to-market agenda in a complex matrixed organization. - Proven ability to productize consulting capabilities into repeatable offerings with clear methods, assets, delivery models, commercials, and measurable client value. - Demonstrated success originating, shaping, and closing strategic consulting and transformation opportunities, including executive engagement, business case development, proposal leadership, and commercial negotiation. - Experience advising C-suite leaders on AI strategy, target operating models, governance, responsible AI, organizational change, investment roadmaps, and value realization. - Strong record of leading and influencing cross-functional teams across sales, consulting, architecture, engineering, delivery, marketing, risk, legal, and ecosystem partners. - Bachelor's degree or equivalent work experience. Preferred Skills: - Master's degree, MBA, data science degree, AI/ML certification, or equivalent advanced practical AI experience. - Experience building horizontal AI advisory offerings that have been deployed across multiple industries and geographic markets. - Familiarity with leading cloud, data, and AI ecosystems, including Azure, AWS, Google Cloud, OpenAI, Anthropic, Mistral, Databricks, and Snowflake. - Experience developing market-facing thought leadership, supporting analyst engagement, and representing an organization in executive or industry forums. - Exceptional executive communication, structured problem solving, commercial judgment, facilitation, stakeholder management, and global team leadership skills. - Ability to travel as required for client and internal engagements. ## Description The Global Head of AI GTM for Cross-Industry is responsible for defining, scaling, and activating NTT DATA's global portfolio of horizontal AI advisory and transformation offerings. Operating in parallel with the Global AI Industry Leads, this role owns propositions that apply across sectors, including AI Strategy, AI Operating Model Design, Responsible AI, AI Governance, enterprise adoption, workforce transformation, and value realization. The leader converts recurring client needs into differentiated, repeatable offerings and works with Geo Leaders, Industry Leads, AI Consultants, Architects, Forward-Deployed Engineering, Delivery, Sales, Marketing, and ecosystem partners to generate pipeline, shape strategic pursuits, and deliver measurable client outcomes., Own the global cross-industry AI GTM strategy, offering portfolio, activation roadmap, and commercial agenda, aligned with NTT DATA's overall AI strategy and growth priorities. - Define and continuously evolve cross-industry offerings, including AI Strategy, AI Operating Model Design, Responsible AI, AI Governance, adoption and change, workforce transformation, and AI value realization. - Partner with Global AI Industry Leads to embed horizontal capabilities into industry-specific plays, adapting them to sector needs while maintaining global consistency and reuse. - Work with Geo Leaders, account teams, and sellers to identify priority clients, activate account plays, generate qualified pipeline, and progress opportunities through the sales cycle. - Act as a senior advisor to client executives on enterprise AI ambition, investment priorities, operating model, governance, adoption, risk, and the path from experimentation to scaled business value. - Productize offerings with clear target buyers, client problems, value propositions, methods, deliverables, talent models, delivery patterns, estimates, pricing approaches, and sales collateral. - Lead or support strategic pursuits, including qualification, discovery, executive workshops, proposal development, business cases, ROI models, commercial shaping, and transition into delivery. - Build reusable methods, assessments, accelerators, credentials, case studies, and executive narratives that increase quality, speed, and differentiation across regions and industries. - Coordinate with AI Consulting, Architecture, FDE, Delivery, practices, Risk, Legal, and ecosystem partners to ensure offerings are technically credible, responsibly designed, commercially viable, and delivery-ready. - Build and mobilize a global cross-industry consulting community through enablement, coaching, knowledge sharing, and clear standards for offering quality and client engagement. - Represent NTT DATA in thought leadership, analyst discussions, executive forums, and market events, while translating market and competitive signals into portfolio priorities. Success Measures: - Managed sales target and qualified pipeline for the global cross-industry AI offering portfolio. - Closed-won revenue and total contract value from cross-industry advisory and transformation opportunities. - Conversion of advisory engagements into downstream AI implementation, managed services, and recurring revenue opportunities. - Adoption and reuse of cross-industry offerings, methods, and assets across Geos, Industries, and priority accounts. - Win rate, margin quality, client outcomes, and stakeholder feedback for strategic pursuits and engagements supported by the role.