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

Define and lead the enterprise-wide AI vision, roadmap, and governance framework

Identify high-impact AI use cases aligned with business objectives

Partner with C-suite leaders to drive AI adoption across departments

2. AI & Data Transformation

Build and scale AI/ML capabilities across the organization

Lead initiatives in predictive analytics, generative AI, NLP, and automation

Drive data strategy in alignment with AI initiatives

3. Innovation & Implementation

Oversee design, development, and deployment of AI solutions

Evaluate emerging technologies and integrate best-in-class AI tools

Foster a culture of experimentation and innovation

4. Governance, Risk & Ethics

Establish AI governance, compliance, and ethical standards

Ensure responsible AI practices including fairness, transparency, and security

Manage risks related to data privacy and AI deployment

5. Team Building & Stakeholder Management

Build and lead high-performing AI, data science, and engineering teams

Collaborate with internal stakeholders and external partners

Mentor leadership teams on AI capabilities and opportunities

Key Requirements Education

Bachelor’s or Master’s in Computer Science, Data Science, AI, or related field

MBA or PhD preferred

Experience

15+ years in technology/data roles with strong exposure to AI/ML

Proven track record of leading AI transformation initiatives

Experience in deploying AI at scale in enterprise environments

Technical Skills

Strong understanding of machine learning, deep learning, NLP, and generative AI

Experience with AI frameworks (TensorFlow, PyTorch, etc.)

Knowledge of cloud platforms (AWS, Azure, GCP)

Data architecture, analytics, and big data ecosystem expertise

Leadership Skills

Strategic thinking with strong business acumen

Ability to influence senior stakeholders and drive change

Strong communication and decision-making capabilities

Preferred Industry Experience

BFSI / Retail / Healthcare / Technology / Consulting (depending on client need)

Key Success Metrics (KPIs)

AI-driven revenue growth or cost optimization

Adoption rate of AI solutions across business units

Time-to-market for AI initiatives

ROI on AI investments

Data maturity and AI capability index

Why Join Us

Opportunity to lead enterprise-wide AI transformation

Work directly with leadership on high-impact initiatives

Build cutting-edge AI capabilities at scale