DGM - Corporate IT

Description

• Collaborate with business stakeholders to identify high-value AI opportunities across business units.
• Establish RPA governance, monitoring, and maintenance practices and ensure reusability, security, and compliance in automation practices
• Provide thought leadership on emerging trends in data engineering, AI/ML, and automation.
• Build a scalable AI/ML operating model covering experimentation, production deployment, monitoring, and ROI measurement.
• Own budgeting, forecasting, and vendor management for AI, RPA, and Data Lake programs.
• Collaborate with business leaders to identify opportunities for data-driven insights and automation.
• Establish standards for data quality, lineage, cataloging, and security.
• Spearhead L&T’s Cognitive Services portfolio with large AI Apps with 15K user base
• Work closely with IT, Business, and Compliance teams to ensure integration and security of solutions.
• Lead the design, development, and scaling of RPA solutions for operational efficiency.
• Identify processes suitable for automation in collaboration with business units.
• Build and mentor a high-performing team of Data Engineers, Data Scientists, RPA Developers, and AI Specialists.
• Lead the design, implementation, and governance of the Enterprise Data Lake integrating 17 ERP systems, enterprise apps, and external data providers.
• Define and execute the strategy for Data Lake, AI, and RPA aligned with business goals.
• Ensure alignment of initiatives with Enterprise IT’s digital transformation strategy.
• Occasional travel for stakeholder meetings, vendor coordination, or conferences.
• Establish ROI tracking mechanisms for all initiatives and report outcomes to Enterprise IT leadership and business stakeholders.
• Facilitate stakeholder engagement and manage vendor partnerships when applicable.
• Align data initiatives with enterprise architecture, compliance, and business priorities.
• Negotiate and manage strategic partnerships with hyperscalers, software vendors, and system integrators.
• Drive measurable business impact and ROI from automation initiatives.
• Drive use cases across Order-to-Cash, Procure-to-Pay, Project Health, Logistics, and other cross-functional domains.

Requirements

• Minimum 10–15 years of experience in Data Architecture, AI, and RPA, including at least 5-7 years in a leadership role.
• Proven track record and experience in large-scale digital transformation initiatives in complex multi-business organizations (EPC/Engineering/Manufacturing preferred).
• Knowledge of Agile methodologies and DevOps practices.
• Experience in vendor management, contract negotiation, and ROI governance.
• Strong expertise in Data Lake platforms (e.g., AWS, Azure, Hadoop), AI/ML frameworks (e.g., TensorFlow, PyTorch), and RPA tools (e.g., UiPath, Automation Anywhere, Blue Prism).
• Strong leadership and people management capabilities.
• Excellent problem-solving, analytical, and strategic thinking skills.
• Strong expertise in data platforms, cloud architectures, lakehouse/data lake design, and integration of large-scale ERP systems.
• Hands-on experience in large-scale data engineering, model development, and automation solutions.
• Proven leadership in AI/ML use case development, NLP, generative AI, and intelligent document processing.
• Deep understanding of RPA technologies (UiPath, Automation Anywhere, Power Automate, etc.).
• Bachelor’s/Master’s degree in Computer Science, Data Science, Information Technology, or a related field.
• Experience with data governance frameworks and ethical AI practices.
• Excellent stakeholder management and communication skills, with the ability to influence C-suite and business leaders.
• Strong project and program management capabilities with a focus on delivery excellence.
• Certifications in Cloud (AWS/Azure/GCP), Data Engineering, AI, and RPA.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance