Head - Data/ AI (India)

Description 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 Responsibilities 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. Qualifications Key Skills & Competencies Strong expertise in Microsoft Azure AI and Microsoft FabricDeep knowledge of Data Engineering, ETL processes, and data architectureExperience in Machine Learning, AI modelling, and optimization techniquesHands-on experience with MLOps / AI-DevOps frameworksStrong problem-solving and analytical skillsExcellent stakeholder management and communication skillsLeadership and team management capabilitiesAbility to work in a fast-paced, evolving technology landscape. Qualifications Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field Certifications (Preferred / Added Advantage) Microsoft Certified: Azure AI Engineer AssociateMicrosoft Certified: Azure Data Engineer AssociateAI/ML certifications (preferred)Certifications in Data Engineering / Cloud Architecture .