[Hiring] Principal MDM Architect @Revvity

Role Description

The Principal MDM Architect will lead the enterprise-wide data architecture strategy and roadmap, focusing on Master Data Management, Data Governance, and AI-enabled solutions.

Key Responsibilities

• Enterprise Data Architecture & Strategy:
  • 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.
• AI-Enabled Master Data Management:
  • 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.
• Master Data Management Leadership:
  • 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.
• Data Governance & Stewardship:
  • 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.
• Solution Architecture & Integration:
  • 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.
• Technology Leadership:
  • 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.
• Stakeholder Management:
  • 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.
• Team Leadership:
  • 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.

Qualifications

• 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.

Requirements

• Master Data Management Expertise:
  • 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.
• Data Integration & Enterprise Applications:
  • 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.)
• Cloud & Infrastructure:
  • 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 Qualifications

• 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.

Leadership Competencies

• 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.