Head - Data/ AI (India)

To lead and drive the end-to-end Data & AI strategy, architecture, and delivery for the organization, leveraging Microsoft Azure AI and Microsoft Fabric. The role will focus on building scalable data platforms, developing advanced AI/ML solutions, and enabling data-driven decision-making. The AI Lead will ensure optimization, governance, and operationalization of AI models while aligning with business objectives and driving innovation

Detailed Roles and Responsibilities:

Role Objective (Summary)

• Act as the technology and delivery lead for all Data & AI initiatives across the organization.

• Define and implement scalable Data & AI architecture using Microsoft Azure AI and Microsoft Fabric.

• Lead the design, development, and deployment of advanced Machine Learning and AI solutions.

• Drive enterprise data engineering and ETL strategies ensuring high-quality, reliable, and scalable data pipelines.

• Collaborate with business stakeholders to identify AI use cases and translate them into impactful solutions.

• Ensure continuous optimization of models for accuracy, performance, and scalability.

• Establish best practices for AI engineering, MLOps, and AI-DevOps frameworks.

• Govern data and AI standards, ensuring compliance, security, and ethical AI practices.

• Mentor and lead cross-functional teams including data engineers, data scientists, and AI engineers

Key Skills & Competencies • Strong expertise in Microsoft Azure AI and Microsoft Fabric • Deep knowledge of Data Engineering, ETL processes, and data architecture • Experience in Machine Learning, AI modelling, and optimization techniques • Hands-on experience with MLOps / AI-DevOps frameworks • Strong problem-solving and analytical skills • Excellent stakeholder management and communication skills • Leadership and team management capabilities • Ability to work in a fast-paced, evolving technology landscape. Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field Certifications (Preferred / Added Advantage) • Microsoft Certified: Azure AI Engineer Associate • Microsoft Certified: Azure Data Engineer Associate • AI/ML certifications (preferred) • Certifications in Data Engineering / Cloud Architecture

Key Responsibilities Data Engineering & ETL Management • Design and implement robust data pipelines using Azure ecosystem and Microsoft Fabric. • Manage ETL processes ensuring data quality, consistency, and availability. • Optimize data workflows for performance and scalability. Machine Learning & AI Engineering • Develop, deploy, and maintain ML models and AI solutions. • Implement model lifecycle management including training, validation, deployment, and monitoring. • Drive experimentation and innovation in AI/ML techniques. Model Optimization & Performance • Continuously improve model accuracy, efficiency, and reliability. • Implement performance monitoring and feedback loops. AI DevOps (MLOps) • Establish CI/CD pipelines for AI/ML models. • Implement versioning, monitoring, and governance frameworks for models. Solution Architecture • Design end-to-end Data & AI solutions aligned with enterprise architecture. • Ensure scalability, security, and integration with existing systems. Stakeholder Management & Leadership • Collaborate with business, IT, and leadership teams. • Translate business problems into technical AI solutions. • Lead and mentor teams, fostering a culture of innovation and excellence. Reporting Responsibilities: • Provide regular updates on AI initiatives, model performance, and delivery status. • Present insights, dashboards, and AI outcomes to leadership. • Ensure documentation of data pipelines, models, and architecture. • Drive governance and reporting standards across Data & AI programs.