Principal MDM Architect

Job not on LinkedIn

🔥 22 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🏛️ Architect

👻 Ghost score 10%

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Revvity

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Revvity is a science-based solutions company that leverages innovation across life sciences and diagnostics to improve lives everywhere. The company serves a diverse customer base, including academia, pharma/biotech, clinical laboratories, and healthcare professionals. Its extensive range of products and services includes genomic analysis, clinical diagnostics, cell and gene therapy, drug discovery, precision medicine, and advanced automation solutions. Revvity is committed to empowering scientists with cutting-edge tools and comprehensive solutions to enhance research and development, diagnostics, and clinical testing. With a focus on accelerating time to market while ensuring quality, Revvity is dedicated to revolutionizing next-generation breakthroughs in healthcare and life sciences.

📋 Description

• Define and lead enterprise-wide data architecture strategy and roadmap • Establish scalable architecture for Master Data Management, Data Governance, Data Quality, Metadata Management, and Reference Data Management • Develop target-state data architecture aligned with business objectives and digital transformation initiatives • Provide architectural leadership and governance across data platforms, integrations, and downstream applications • Define architecture standards, design principles, and best practices for enterprise data • Define and implement an AI-driven MDM strategy • Evaluate and integrate Generative AI, Machine Learning, and Intelligent Automation into MDM processes • Design AI-assisted data stewardship workflows for validation, enrichment, classification, and exception handling • Leverage AI for entity resolution, duplicate detection, survivorship optimization, and record matching • Establish AI governance policies for transparency, explainability, security, and regulatory compliance • Serve as lead SME and architect for MDM solutions • Design and implement Customer, Product, Vendor, Supplier, and Reference Data Master solutions • Establish and maintain Single Source of Truth and Golden Record strategies • Define survivorship, matching, merging, hierarchy management, and data stewardship processes • Lead MDM platform selection, evaluation, implementation, and optimization • Define enterprise data governance frameworks, standards, policies, and operating models • Partner with stakeholders to establish data ownership, stewardship, and accountability models • Lead data quality profiling, monitoring, remediation, and continuous improvement • Implement governance processes ensuring data consistency, accuracy, compliance, and auditability • Drive adoption of data governance practices across business units • Implement GenAI-powered data issue remediation recommendations, business rule generation and validation, natural-language search, metadata enrichment, and AI-assisted onboarding • Design end-to-end data integration architectures across ERP, CRM, PLM, supply chain, and analytics platforms • Lead integration strategy between MDM and enterprise applications • Define data exchange patterns, APIs, services, and event-driven architectures • Review and approve technical solution designs • Evaluate emerging data technologies and establish enterprise data architecture standards • Conduct architecture reviews and provide technical oversight • Drive innovation while balancing scalability, maintainability, and operational support • Partner with executive leadership, business stakeholders, data stewards, and technology teams • Translate business requirements into scalable architectural solutions • Present architecture roadmaps and recommendations to senior leadership • Serve as escalation point for critical data and architecture issues • Lead and mentor architects, developers, analysts, and data engineers • Establish technical standards and review processes • Support project planning, estimation, resource allocation, and delivery governance • Foster engineering excellence and continuous learning

🎯 Requirements

• 15+ years of experience in Data Management, Data Architecture, Data Integration, or related disciplines • 8+ years of experience designing and implementing enterprise MDM solutions • Proven experience leading large-scale enterprise data transformation initiatives • Experience defining MDM strategy and enterprise data roadmaps • Experience managing architecture teams and cross-functional delivery organizations • Experience working directly with executive stakeholders and business leaders • Strong experience in Tibco EBX (Orchestra Networks) or SAP MDG • Expertise in Data Governance frameworks and operating models • Experience implementing Data Stewardship programs • Strong understanding of metadata management and reference data management • Experience with data quality assessment, profiling, remediation, and monitoring • Knowledge of regulatory and validation environments • Experience integrating SAP ERP, Microsoft Dynamics 365, Salesforce (SFDC), PLM solutions, CRM platforms, supply chain systems, data warehouses, and analytics platforms • Integration experience with APIs, SOAP services, REST services, ETL/ELT platforms, and enterprise integration platforms such as Boomi or MuleSoft • Experience deploying enterprise data platforms in AWS, Azure, or GCP • Knowledge of Redshift, PostgreSQL, Oracle, SQL Server, or equivalent databases • Experience with high availability, disaster recovery, and resiliency architectures • Experience with WebLogic, JBoss, Tomcat, or similar middleware platforms • Preferred: experience in Life Sciences, Healthcare, Pharmaceutical, Manufacturing, or Consumer Products industries • Preferred: experience integrating with Dun & Bradstreet (D&B) services for identity resolution and enrichment • Preferred: experience with large-scale customer data platforms and commercial data ecosystems • Preferred: knowledge of domain-driven architecture and modern data management practices • Preferred: experience supporting validated and regulated environments • Strategic thinking, executive communication, stakeholder management, organizational influence, problem-solving, and decision-making capabilities

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