Priniciple MDM Architect

Revvity Health Sciences; India; Remote; INR 800,000 - 1,400,000; Full time

Job summary

Revvity Health Sciences is seeking a Principal MDM Architect to define and lead enterprise data architecture strategy across master data management, governance, and AI-enabled initiatives. You will drive architecture standards, oversee integrations, and guide data platform modernization in a global, remote-friendly setup.

The role requires senior-level experience in data management, MDM design, and governance, with a track record of leading large-scale data transformations and defining

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 management solutions.

Responsibilities

• Define and lead enterprise-wide data architecture strategy and roadmap.
• Lead governance across data platforms, integrations, and downstream applications.
• Define architecture standards, design principles, and best practices for enterprise data.
• Define and implement AI-driven MDM strategy to improve data quality and governance.
• Design AI-assisted data stewardship workflows to reduce manual effort in data validation.

Skills

Enterprise data architecture

Data governance

Leadership

Stakeholder management

Solution architecture

Job description

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.
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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