This role will act as a bridge between business leadership and technology teams to unlock value through data-driven decision-making and intelligent automation.
Experience:
15+ years (with 5–8 years in AI/ML leadership roles)
Key Responsibilities
1. AI Strategy & Leadership
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Define and lead the enterprise-wide AI vision, roadmap, and governance framework
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Identify high-impact AI use cases aligned with business objectives
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Partner with C-suite leaders to drive AI adoption across departments
2. AI & Data Transformation
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Build and scale AI/ML capabilities across the organization
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Lead initiatives in predictive analytics, generative AI, NLP, and automation
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Drive data strategy in alignment with AI initiatives
3. Innovation & Implementation
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Oversee design, development, and deployment of AI solutions
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Evaluate emerging technologies and integrate best-in-class AI tools
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Foster a culture of experimentation and innovation
4. Governance, Risk & Ethics
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Establish AI governance, compliance, and ethical standards
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Ensure responsible AI practices including fairness, transparency, and security
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Manage risks related to data privacy and AI deployment
5. Team Building & Stakeholder Management
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Build and lead high-performing AI, data science, and engineering teams
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Collaborate with internal stakeholders and external partners
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Mentor leadership teams on AI capabilities and opportunities
Key Requirements
Education
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Bachelor’s or Master’s in Computer Science, Data Science, AI, or related field
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MBA or PhD preferred
Experience
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15+ years in technology/data roles with strong exposure to AI/ML
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Proven track record of leading AI transformation initiatives
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Experience in deploying AI at scale in enterprise environments
Technical Skills
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Strong understanding of machine learning, deep learning, NLP, and generative AI
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Experience with AI frameworks (TensorFlow, PyTorch, etc.)
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Knowledge of cloud platforms (AWS, Azure, GCP)
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Data architecture, analytics, and big data ecosystem expertise
Leadership Skills
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Strategic thinking with strong business acumen
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Ability to influence senior stakeholders and drive change
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Strong communication and decision-making capabilities
Preferred Industry Experience
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BFSI / Retail / Healthcare / Technology / Consulting (depending on client need)
Key Success Metrics (KPIs)
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AI-driven revenue growth or cost optimization
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Adoption rate of AI solutions across business units
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Time-to-market for AI initiatives
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ROI on AI investments
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Data maturity and AI capability index
Why Join Us
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Opportunity to lead enterprise-wide AI transformation
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Work directly with leadership on high-impact initiatives
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Build cutting-edge AI capabilities at scale
