MDM Architect

Job description

Title - MDM Architect Exp - 13 to 17 years Location- Hyderabad NP - Immediate to 30 Days Role Overview Job Description 1)Accountable for delivery of the MDM capabilities required by the business functions 2)Handson experience in Informatica MDM and Customer 360 implementation experience is a must 3)Handson experience in Informatica MDM and Customer 360 implementation experience is a must 4)Certification INFA MDM or Customer 360 5)Understand specs user stories and product planning docs around MDM implementation 6)Understand Customer Master roadmap aligning with business objectives and outcomes 7)Support in creation and implementation of Data Model that helps support all business use cases 8)Participate to achieve single source of truth from master data perspective 9)Participate in full lifecycle of complex crossfunctional programs projects with considerable impact across multiple organizations 10)Participate in adoption and implementation of best practices across key data elements and processes 11)Ability to convert business requirements into technical specifications and decide timeline to accomplish 12)Understand business and functional requirements documents 13)Participate with business technology and operations on driving data cleanup validation efforts across various systems to achieve clean complete Master Data 14)Identification root cause analysis prioritization remediation planning and coordination and execution of remediation activities for data issues 15)Update system data documentation metadata dictionary lineage in accordance with established policies 16)Help resolve critical issues and providing technical resolution 17)Participate in development and maintenance of the technologies that automate data processes 18)Design and guide developers on topics related to development and deployment of MDM processes 19)Work with users and team members at all level for performance improvement and suggestions 20)Develop process and tools to monitor and analyse model performance and data accuracy quality 21)Performing a detailed analysis of data management requirements from a DataOps standpoint specifically Data Governance and Quality across all systems platforms and applications 22)Identify design and implement internal process improvements automating manual processes optimizing data delivery redesigning infrastructure for greater scalability etc 23)Build the infrastructure required for optimal extraction transformation and loading of data from a wide variety of data sources.