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Aster Medcity
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AI Transformation Practice Lead (Global Learning & Development)

AI Transformation Practice Lead (Global Learning & Development)

Aster Medcity

18 - 28 years

7 - 9 Lacs

navi mumbai maharashtra india

Posted:1 day ago| Platform: Foundit logo

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Skills Required

learning & development

Work Mode

On-site

Job Type

Full Time

Job Description

Key Accountabilities

1. AI Academy Development & Strategy

Lead the redesign, expansion, and governance of the AI Academy as NTT DATA Inc.s primary capability development platform.
Develop strategy, operating model, team structure, and end-to-end learning portfolio.
Integrate the existing AI Academy (currently outside L&D) into unified governance.
Ensure scale, role relevancy, and measurable business impact.

2. AI Transformation for Talent COE

Collaborate with the Global Head of Learning Tech & Partnerships and Talent COE leaders.
Integrate AI into HR and talent processes (recruitment, performance, mobility, learning).
Support ethical frameworks, governance, and guardrails for AI usage across talent products.

3. AI@Work Redesign & Capability Pilots

Lead workforce redesign efforts clarifying task distribution between AI and humans.
Partner with AI Office, aXet, and Strategic Workforce Planning.
Launch capability pilots that build AI readiness, digital ethics, and future-of-work skillsets.

4. Career Architecture Alignment

Work with the Global Head of Career Architecture to embed AI skills and future-of-work expectations into the enterprise career framework.

5. Executive Talent Partnership

Partner with the Global Head of Executive Talent and Head of Leadership Development.
Integrate AI fluency and future-of-work leadership capabilities into senior leadership pathways.

6. Innovation Leadership

Reimagine how L&D integrates AI into capability building.
Lead experimentation, design thinking, and innovative approaches to talent transformation.

7. Coalition Building & Thought Leadership

Build strong partnerships with AI Office, aXet, and business transformation leaders.
Represent L&D in AI governance forums.
Act as a thought leader internally and externally.

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