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Verdantis is an AI Superagent for MRO (Maintenance, Repair, and Operations). We operate globally, helping organizations bring efficiency, accuracy, and intelligence to their MRO lifecycle management. By leveraging AI, automation, and advanced data governance, Verdantis enables enterprises to streamline their processes, optimize inventory, and achieve significant cost savings, while driving digital transformation across their supply chain and asset management ecosystemsKindly visit our Company Website https://www.verdantis.com/ for details.Job Title: Project Manager (Experience in Master Data Harmonization & Governance Platform)Job Summary:We are seeking a results-driven and detail-oriented Project Manager to lead the planning, execution, and delivery of Master Data Cleansing projects focused on MRO (masters such as Materials, Services, Assets, Vendors, equipment etc). The role involves coordinating cross-functional teams, ensuring high data quality standards, managing client relationships, and delivering projects on time, within budget, and in line with agreed objectives. The Project Manager will serve as the primary point of contact for stakeholders, ensuring seamless communication and optimal project outcomes.Responsibilities:Project Planning and Execution:- SPOC for the projects. Ability to work on multiple projects. - Develop comprehensive project plans, including scope, schedule, budget, and resource allocation. - Define project milestones and deliverables, and track progress against plan. - Manage project risks and issues, and implement effective mitigation strategies. - Ensure projects are delivered in accordance with Verdantis methodologies and best practices. - Ability to understand AI and leverage the same in project delivery.Client Management:- Serve as the primary point of contact for clients, building and maintaining strong relationships. - Understand client requirements and expectations, and ensure project deliverables meet their needs. - Provide regular project updates and status reports to clients. - Manage client expectations and resolve any issues or conflicts.Team Leadership:- Lead and motivate project teams, including consultants, developers, and data analysts. - Foster a collaborative and high-performing team environment. - Assign tasks and responsibilities to team members, and monitor their performance. - Facilitate effective communication and collaboration within the team. - Monitor workload distribution and ensure optimal productivity.MDM Expertise:- Develop a deep understanding of Verdantis MDM solutions and their capabilities. - Apply MDM best practices and methodologies to project implementations. - Understand data governance and data quality principles. - Work with the technical teams to assure proper implementation of the Verdantis software. - Prepare and present regular project status reports to stakeholders. - Maintain accurate project documentation, including project plans, meeting minutes, and risk logs. - Ensure all project deliverables are documented and approved.Qualifications:- Bachelor's degree in Business Administration, Information Systems, Engineering, or related field - 8+ years of experience in project management, with at least 2 years in data management or data cleansing projects. - Strong understanding of Various Master (services, materials, assets, vendors, equipment etc.) Data in ERP systems. - Experience working with US, Europe customers. Industries focused are Manufacturing, Chemicals, Food and Beverages, Mining, Energy. - Proven track record of delivering projects within scope, budget, and timeline. - Excellent communication, stakeholder management, and negotiation skills. - Strong problem-solving skills with keen attention to detail. - Proficiency in project management tools (e.g., MS Project, Jira, Smartsheet) and MS Office Suite. - Ability to manage multiple projects simultaneously. - PMP or other project management certifications are a plus.Preferred Qualifications:- Experience with Verdantis MDM solutions or similar MDM platforms. - Experience in data governance and data quality initiatives.