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Priniciple MDM Architect

Revvity142 open roles

Where
India - Remote
Work mode
Remote
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Your applicationOpen nowPriniciple MDM ArchitectRevvity · India - Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Revvity postings stay open a median of 21 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted today

Revvity median: 21 days open

The posting

Job Title

Priniciple MDM Architect

Location(s)

India - Remote

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

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.
  • management.

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.

Required Qualifications

Experience

  • 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.

Master Data Management Expertise

Strong experience in one or more of the following platforms:

  • Tibco EBX (Orchestra Networks)
  • SAP MDG

Data Governance & Quality

  • 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.
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