Priniciple MDM Architect

About Us

Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.

Find your future at Revvity 

• 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 to improve master data quality, governance, and operational efficiency.
• Evaluate and integrate Generative AI, Machine Learning, and Intelligent Automation capabilities into MDM processes.
• Design AI-assisted data stewardship workflows that reduce manual effort in data validation, enrichment, classification, and exception handling.
• Leverage AI models for intelligent entity resolution, duplicate detection, survivorship optimization, and record matching across customer, product, supplier, and vendor domains.
• Establish AI governance policies to ensure transparency, explainability, security, and regulatory compliance of AI-driven data management processes.
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• Serve as the organization's lead SME and architect for MDM solutions.
• Design and implement Customer, Product, Vendor, Supplier, and Reference Data Master solutions.
• Establish and maintain a "Single Source of Truth" and Golden Record strategy.
• Define survivorship, matching, merging, hierarchy management, and data stewardship processes.
• Lead MDM platform selection, evaluation, implementation, and optimization initiatives.
• Ensure MDM solutions support operational, analytical, and regulatory requirements.

• Define enterprise data governance frameworks, standards, policies, and operating models.
• Partner with business stakeholders to establish data ownership, stewardship, and accountability models.
• Lead data quality initiatives including profiling, monitoring, remediation, and continuous improvement.
• Implement governance processes to ensure data consistency, accuracy, compliance, and auditability.
• Drive adoption of data governance practices across business units.
• Partner with business and data stewards to implement GenAI-powered capabilities for:
  • Data issue identification and remediation recommendations.
  • Automated business rule generation and validation.
  • Natural language search and query capabilities across master data domains.
  • Metadata documentation and data catalog enrichment.
  • AI-assisted onboarding of new data sources and domains.

• Design end-to-end data integration architectures across ERP, CRM, PLM, supply chain, and analytics platforms.
• Lead integration strategy between MDM and enterprise applications.
• Collaborate with application teams to define data exchange patterns, APIs, services, and event-driven architectures.
• Review and approve technical solution designs for strategic enterprise initiatives.

• Evaluate emerging data technologies, platforms, and industry trends.
• Establish enterprise standards for data architecture and implementation.
• Conduct architecture reviews and provide technical oversight for all MDM initiatives.
• Drive innovation while balancing scalability, maintainability, and operational support requirements.

• 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 a culture of engineering excellence and continuous learning.

• 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 one or more of the following platforms:

• Tibco EBX (Orchestra Networks)
• 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 with enterprise platforms such as:

• 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
• Enterprise Integration Platforms (Boomi, MuleSoft, etc.)

• 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.

• Experience in Life Sciences, Healthcare, Pharmaceutical, Manufacturing, or Consumer Products industries.
• Experience integrating with Dun & Bradstreet (D&B) services for identity resolution and enrichment.
• Experience with large-scale customer data platforms and commercial data ecosystems.
• Knowledge of domain-driven architecture and modern data management practices.
• Experience supporting validated and regulated environments.

• Strategic thinker with enterprise-wide perspective.
• Strong executive communication and stakeholder management skills.
• Ability to drive organizational adoption of data governance and MDM practices.
• Proven ability to influence across business and technology organizations.
• Strong problem-solving and decision-making capabilities.