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Data Governance & Master Data Management (MDM) Leader @ Aspire Systems

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 Data Governance & Master Data Management (MDM) Leader

Job Description

Role Summary


We are seeking an experienced Data Governance & Master Data Management (MDM) leader to
drive our enterprise-wide data strategy, governance framework, and master data management
initiatives. The ideal candidate will bring a strong background in data governance, data quality,
metadata management, and MDM tools to ensure trusted, well-managed, and high-quality data
that supports critical business decisions and digital transformation.


Key Responsibilities
Data Governance


  • Establish and lead the enterprise data governance framework, policies, and standards.
  • Define and monitor data ownership, stewardship, and accountability models.
  • Develop and enforce data classification, privacy, and security policies aligned with regulatory and compliance requirements (e.g., GDPR, HIPAA, BFSI regulations).
  • Drive adoption of data cataloging, lineage, and metadata management practices.
  • Collaborate with business and IT stakeholders to ensure data is accurate, consistent, and compliant across the enterprise.

Master Data Management (MDM)


  • Define and implement the MDM strategy, operating model, and governance framework.
  • Lead MDM solution design, configuration, and integration with enterprise applications (ERP, CRM, Data Lakes, etc.).
  • Manage data domains (Customer, Product, Vendor, Employee, etc.) ensuring data consistency and standardization.
  • Oversee data quality management processes including profiling, cleansing, matching, merging, and survivorship rules.
  • Partner with technical teams to ensure scalable, secure, and high-performing MDM implementations (Profisee, Informatica, Reltio, Boomi, etc.). Leadership & Stakeholder Management

  • Engage senior business leaders to align data initiatives with business goals.
  • Lead a cross-functional team of data stewards, analysts, and architects.
  • Provide thought leadership on data-driven decision-making and advanced data management practices.
  • Drive change management and foster a culture of data ownership across the organization. Required Skills & Qualifications

  • 10 - 15 years of experience in Data Governance, Data Quality, and MDM.
  • Strong expertise in enterprise data governance frameworks (DAMA-DMBOK, DCAM, ISO 8000/25500).
  • Hands-on experience with MDM platforms (Profisee, Informatica, Reltio, Semarchy, SAP MDG, Boomi MDM, etc.).
  • Experience in metadata management, lineage tools, and data catalogs (Collibra, OvalEdge, Purview, Alation, Informatica EDC).
  • Deep understanding of data modeling, data architecture, and integration patterns.
  • Proven track record of delivering enterprise-scale MDM programs across multiple domains.
  • Strong knowledge of data compliance and regulatory requirements (GDPR, BCBS239, SOX, HIPAA, etc.).
  • Excellent stakeholder management, leadership, and communication skills. Preferred Qualifications
  • Certification in Data Governance / MDM (e.g., DAMA CDMP, DCAM, Informatica MDM, Profisee Certified, Collibra Certified).
  • Experience working in Banking, Financial Services, Insurance, or Manufacturing domains.
  • Exposure to cloud-based MDM and governance solutions (Azure Purview, AWS Glue, GCP Dataplex, Fabric with OneLake).
  • Experience in AI/ML-driven data quality and governance initiatives.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Aspire Systems
Location(s): Kochi

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Keyskills:   Data Quality Master Data Management Data Governance

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Aspire Systems

Aspire Systems is a global technology services firm serving as a trusted technology partner for our customers. We work with some of the world's most innovative enterprises and independent software vendors, helping them leverage technology and outsourcing in our specific areas of expertise.