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AI Transformation Practice Lead – Global Learning & Development

AI Transformation Practice Lead – Global Learning & Development

NTT Ltd.Johannesburg, ZA
12 days ago
Job description

Job title : AI Transformation Practice Lead – Global Learning & Development

Job Location : Gauteng, Johannesburg

Deadline : November 06, 2025

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  • The AI Transformation Practice Lead is a new role created to support the newly appointed Global Head of L&D and drive NTT DATA Inc.’s most critical enterprise capability : AI fluency and adoption at scale. This individual will lead the redesign and expansion of the AI Academy, partner with the Talent COE to embed AI into core people processes, and coordinate enterprise-wide work redesign initiatives that enable our people to thrive in an AI-first world. This is a high-visibility, enterprise-critical role that requires strategic coalition-building across the AI Office, aXet, Global L&D, Talent COE leaders, and workforce planning teams. The AI Transformation Practice Lead will also play a pivotal part in shaping how AI and the future of work inform NTT DATA Inc.’s career architecture, in close collaboration with the Global Head of Career Architecture. In addition, the role will partner with the Global Head of Executive Talent and Global Head of Leadership Development to ensure that AI fluency and future-of-work leadership are embedded into the expectations and development of NTT’s future senior executives. This role requires not only coalition building but also exceptional innovation skills to connect AI transformation with the broader People & Culture (P&C) ecosystem. The successful candidate will position NTT DATA Inc. as a leader in AI-enabled transformation, ensuring our people, managers, and leaders are equipped to thrive in an AI-first future.

Key Accountabilities

  • AI Academy Development & Strategy – Lead the redesign, expansion, and governance of the AI Academy as NTT DATA Inc.’s flagship capability platform. Build the Academy strategy, design operating model, assemble team capability, and define the end-to-end learning portfolio. Reposition the existing AI Academy (currently outside of L&D) under a unified strategy and L&D governance. Ensure scalability, role relevance, and measurable business impact of AI learning offerings.
  • AI Transformation for Talent COE – Partner with the Global Head of Learning Tech & Partnerships, Talent COE leaders, and P&C Transformation workstreams to integrate AI into HR / Talent processes and products. Advise on how AI can enhance recruitment, performance, career mobility, and learning workflows. Ensure guardrails and ethical frameworks are embedded into AI use cases across the Talent COE.
  • AI@Work Redesign & Capability Pilots – Lead efforts to help NTT DATA Inc. rethink and redesign work in light of AI adoption — clarifying which tasks are best performed by AI, which remain human-led, and how new hybrid models of work should operate. Partner closely with the NTT AI Office, aXet team, and Strategic Workforce Planning leads to ensure work redesign efforts align with enterprise priorities. Launch and steward capability pilots that equip employees and managers with the mindsets, skill sets, and ethical practices required for the future of work.
  • Career Architecture Alignment – Collaborate with the Global Head of Career Architecture to integrate AI skills, capabilities, and redesigned work expectations into NTT’s evolving career framework. Ensure career paths reflect future-of-work realities and AI-enabled roles.
  • Executive Talent Partnership – Work closely with the Global Head of Executive Talent to embed AI and future-of-work leadership into the criteria and development pathways for senior executives.
  • Innovation Leadership – Bring strong innovation skills to reimagine how L&D integrates AI into capability building. Lead experimentation and creative problem-solving to link AI transformation with other Talent COE priorities.
  • Coalition Building & Thought Leadership – Build strong partnerships with the NTT AI Office and aXet, ensuring alignment between corporate AI strategy and people capability initiatives. Act as an internal and external thought leader on AI capability and transformation. Represent L&D on AI-related governance and transformation forums.
  • Success Measures

  • Successful relaunch and adoption of the AI Academy as the flagship enterprise capability platform.
  • Demonstrable improvement in employee AI fluency and role-specific capability within 12–18 months.
  • Integration of AI into key Talent COE processes and products with measurable efficiency or experience gains.
  • Scaled adoption of AI@Work pilots with documented impact on productivity, work redesign, and ways of working.
  • AI skills and expectations embedded into career architecture and executive leadership development.
  • Strong alignment and recognition by AI Office, aXet, and business leaders as a trusted transformation partner.
  • Qualifications & Experience

  • 10+ years in learning, digital transformation, AI enablement, or related roles.
  • Demonstrated experience leading large-scale transformation or capability-building programmes (AI or digital highly desirable).
  • Strong knowledge of AI technologies, including GenAI, and their application to workforce transformation.
  • Experience designing or leading academies, centres of excellence, or capability frameworks.
  • Background in talent / HR processes (recruitment, mobility, performance, learning) and how AI can reshape them.
  • Proven ability to innovate and lead creative transformation initiatives, ideally in L&D, talent, or future-of-work contexts.
  • Experience collaborating with career architecture, talent management, or executive development teams is highly desirable.
  • Exceptional stakeholder management, coalition-building, and influencing skills at senior levels.
  • Strong communication and thought leadership ability; able to design engagement campaigns that drive adoption.
  • Ideal Candidate Profile

  • A pioneer who combines strategic vision with pragmatic execution.
  • Equally comfortable operating at conceptual / strategic level (framing AI capability roadmap) and at execution level (pilots, governance, adoption).
  • Credible and confident with both business executives and technical / AI experts.
  • Passionate about enabling people to thrive in an AI-first world.
  • An innovator with strong problem-solving skills, able to connect AI transformation with the broader P&C ecosystem.
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