DGM - Corporate ITLNT D-CI 1476802 HOSC-Head OfficeAMN Tower Powai Posted On 26 Sep 2025 End Date 25 Mar 2026 Required Experience 5 - 10 Years Skills Knowledge Posting Location INFORMATION TECHNOLOGY Minimum Qualification BACHELOR OF TECHNOLOGY BTECH Position Title Head - Data Lake AI RPA Department Enterprise IT Location Mumbai Reports To CIO Enterprise IT Role Overview Lead the strategic development implementation and management of the Data Lake Artificial Intelligence AI and Robotic Process Automation RPA capabilities Ensure robust scalable data architecture and intelligent automation solutions to drive data-driven decision-making and operational efficiency across the organization The role requires balancing strategic vision with execution excellence ensuring strong governance ROI measurement vendor management and business alignment Key Responsibilities Strategic Leadership Define and execute the strategy for Data Lake AI and RPA aligned with business goals Provide thought leadership on emerging trends in data engineering AI ML and automation Collaborate with business leaders to identify opportunities for data-driven insights and automation Team Leadership Collaboration Build and mentor a high-performing team of Data Engineers Data Scientists RPA Developers and AI Specialists Work closely with IT Business and Compliance teams to ensure integration and security of solutions Facilitate stakeholder engagement and manage vendor partnerships when applicable Enterprise Data Lake Analytics Lead the design implementation and governance of the Enterprise Data Lake integrating 17 ERP systems enterprise apps and external data providers Drive use cases across Order-to-Cash Procure-to-Pay Project Health Logistics and other cross-functional domains Establish standards for data quality lineage cataloging and security Align data initiatives with enterprise architecture compliance and business priorities AI Cognitive Services Spearhead L T s Cognitive Services portfolio with large AI Apps with 15K user base Build a scalable AI ML operating model covering experimentation production deployment monitoring and ROI measurement Collaborate with business stakeholders to identify high-value AI opportunities across business units Robotic Process Automation RPA Identify processes suitable for automation in collaboration with business units Lead the design development and scaling of RPA solutions for operational efficiency Establish RPA governance monitoring and maintenance practices and ensure reusability security and compliance in automation practices Drive measurable business impact and ROI from automation initiatives Governance Strategy ROI Own budgeting forecasting and vendor management for AI RPA and Data Lake programs Establish ROI tracking mechanisms for all initiatives and report outcomes to Enterprise IT leadership and business stakeholders Negotiate and manage strategic partnerships with hyperscalers software vendors and system integrators Ensure alignment of initiatives with Enterprise IT s digital transformation strategy Key Skills Competencies Robust expertise in data platforms cloud architectures lakehouse data lake design and integration of large-scale ERP systems 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 Experience in vendor management contract negotiation and ROI governance 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 Required Qualifications Bachelor s Master s degree in Computer Science Data Science Information Technology or a related field Minimum 10-15 years of experience in Data Architecture AI and RPA including at least 5-7 years in a leadership role 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 Hands-on experience in large-scale data engineering model development and automation solutions Proven track record and experience in large-scale digital transformation initiatives in complex multi-business organizations EPC Engineering Manufacturing preferred Excellent problem-solving analytical and strategic thinking skills Strong leadership and people management capabilities Preferred Qualifications Certifications in Cloud AWS Azure GCP Data Engineering AI and RPA Experience with data governance frameworks and ethical AI practices Knowledge of Agile methodologies and DevOps practices Working Conditions Office-based depending on company policy Occasional travel for stakeholder meetings vendor coordination or conferences