Indian multinational conglomerate in engineering, construction, manufacturing, IT services, defence and infrastructure.
Lead strategy, implementation & governance of data lake, AI and RPA initiatives.
2 days ago ago
Expert & Leadership (13+ years)
Full Time
Mumbai Metropolitan Region
Office Full-Time
Company Size
54,596 Employees
Service Specialisms
Construction services
Project Management
Engineering
Design
Technical Services
Turnkey
General Contractor
Architecture
Sector Specialisms
Buildings & Factories
Transport Infrastructure
Heavy Civil Infrastructure
Smart World & Communication
Water & Renewable Energy
Power Transmission & Distribution
Hydrocarbon (offshore and onshore projects)
Coal-based Power Plants
Role
Description
ai opportunities
rpa governance
data lake
ai/ml ops
vendor management
stakeholder engagement
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
data architecture
ai
rpa
aws
tensorflow
uipath
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
Information not given or found
Training + Development
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Interview process
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Visa Sponsorship
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Security clearance
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Company
Overview
Founded in 1946
Year Established
The company was started in 1946 by two Danish engineers.
Revenue Billions USD
Annual Revenue
The company generates tens of billions of USD annually.
A small Bombay firm that evolved into a global powerhouse.
Expanded into major infrastructure and industrial projects worldwide.
Delivers EPC projects in energy, transport, and defense.
Notable projects include power plants, metro rail systems, hydrocarbon facilities, and naval vessels across emerging markets.
Subsidiaries like LTIMindtree and L&T Technology Services drive its footprint in digital engineering and consulting.
Known for tackling large-scale, complex assignments in defense, power, urban transit, and marine engineering.
Culture + Values
Integrity and transparency in all dealings.
Commitment to excellence and innovation.
Customer satisfaction through quality, service, and value.
Respect for the environment and communities.
A culture of teamwork, collaboration, and respect for diversity of thought.
Continuous learning, development, and growth.
Safety as the first priority in all operations.
Environment + Sustainability
Net Zero by 2040
Sustainability Goal
The company aims to achieve net-zero emissions by 2040 through comprehensive sustainability initiatives.
Implementation of energy-efficient technologies in all operations.
Reduction in carbon footprint through sustainable practices.
Investment in renewable energy sources like solar and wind.
Commitment to circular economy principles in product design and waste management.
Promotion of green building initiatives and sustainable infrastructure.
Inclusion & Diversity
Achieving gender balance across all levels of the organization.
Female representation at leadership positions increased year over year.
Commitment to gender-neutral policies and equal pay for equal work.
Fostering an inclusive workplace through mentorship programs and training.