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Head - AI CoE

Tata Tele Business Services (TTBS)

10 - 15 years

25 - 30 Lacs

Hyderabad

Posted:17 hours ago| Platform:

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Skills Required

Computer science Training Change management Usage Head Business Development data science Compliance Data analytics Stakeholder management Operations

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Summary

We are seeking a visionary and strategic AI CoE Head to drive enterprise-wide AI innovation, governance, and capability building. This role will serve as the central hub for AI strategy, adoption, and scaling of AI solutions across business units while ensuring ethical, explainable, and sustainable AI practices.

Key Responsibilities

Define enterprise AI strategy, roadmap, and governance models.
Evaluate, pilot, and scale AI use cases across departments and functions.
Build and manage AI platforms, tools, frameworks, and reusable assets.
Ensure ethical, transparent, and compliant AI development practices.
Foster a culture of AI literacy through skill-building and training initiatives.
Collaborate with data, IT, business, and compliance teams for integrated AI implementation.

Objectives

Accelerate AI-driven transformation and innovation.
Maximize ROI from AI investments through strategic alignment and execution.
Promote widespread AI adoption across business units.
Ensure responsible, explainable, and secure AI usage.

Key Result Areas (KRAs)

Number and impact of AI use cases deployed.
AI adoption rate and cross-functional engagement.
Accuracy, reliability, and relevance of deployed models.
Compliance with AI governance and ethical standards.
Training hours and AI upskilling metrics across the organization.

Expected Outcomes

Scalable and reusable AI solutions across the enterprise.
Improved decision-making and operational efficiency.
Tangible business advantage through applied AI innovation.
Strong AI governance and minimized risk exposure.

Qualifications

Master s or Ph.D. in Computer Science, Data Science, or related field.
10+ years of experience in data, analytics, or AI leadership roles.
Proven track record in delivering AI/ML solutions at scale.
Deep understanding of AI governance, MLOps, and responsible AI practices.
Strong leadership and stakeholder management skills.
Excellent communication and change management capabilities.

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