AI/ML Analytics Director

Location : Chennai/Bangalore/Nagpur/Pune/Hyderabad

Role : Fulltime

Years of Experience : 18 - 22yrs

Job Summary :

We are seeking an experienced AI/ML Analytics Leader to define and execute the organization's AI, machine learning, and advanced analytics strategy. This role will lead cross-functional teams of data scientists, ML engineers, analytics professionals, and business stakeholders to develop scalable AI-powered solutions that drive business growth, operational efficiency, customer experience, and innovation.

The ideal candidate combines deep technical expertise in AI/ML with strong business acumen, executive stakeholder management, and people leadership capabilities.

Key Responsibilities :

AI & Data Strategy :

- Develop and execute the enterprise AI/ML and analytics roadmap aligned with business objectives.

- Identify high-impact use cases across customer, product, operations, finance, HR, and sales functions.

- Establish AI governance frameworks, model lifecycle management processes, and responsible AI practices.

- Create multi-year strategies for data, analytics, generative AI, predictive modeling, and intelligent automation.

Leadership & Team Management :

- Build, mentor, and lead high-performing teams of :

1. Data Scientists

2. ML Engineers

3. Data Engineers

4. Analytics Consultants

5. BI Developers

- Drive talent development, succession planning, and capability building.

- Foster an innovation-driven and data-centric culture.

AI/ML Solution Development :

- Lead end-to-end AI/ML program execution from ideation through deployment and adoption.

- Oversee development of :

1. Predictive Models

2. Recommendation Engines

3. NLP Solutions

4. Large Language Model (LLM) Applications

5. Computer Vision Systems

6. Time-Series Forecasting Models

7. Generative AI Solutions

- Ensure models meet performance, scalability, explainability, and compliance requirements.

Analytics & Business Insights :

- Transform complex datasets into actionable business insights.

- Drive KPI frameworks and measurement strategies.

- Partner with business leaders to translate strategic goals into measurable analytics outcomes.

- Establish self-service analytics capabilities and executive dashboards.