Manager of Data Governance and MDM

Overview

Are you passionate about turning data chaos into clarity? Do you thrive at the intersection of governance, innovation, and data-driven strategy? We’re seeking a highly motivated Manager of Data Governance & MDM to lead the charge in shaping a trusted, secure, and future-ready data environment.

In this role, you will lead the implementation and evolution of our enterprise data governance and master data management programs—empowering our organization with high-quality, well-governed, and easily accessible data across the enterprise. Working in a modern Azure cloud environment and leveraging Reltio’s cloud-native MDM platform, you’ll partner closely with business and technical teams to establish data as a critical asset that fuels operational excellence, regulatory compliance, and advanced analytics.

This is an opportunity to drive real impact across the organization, laying the foundation for AI enablement, self-service analytics, and next-generation decision intelligence.

• Lead and evolve the enterprise Data Governance strategy, including policies, standards, stewardship models, and change management.
• Own and expand the organization’s Master Data Management (MDM) capabilities using Reltio, working closely with business stakeholders to define and manage golden records.
• Develop and enforce data quality frameworks, profiling processes, and scorecards for key domains and systems.
• Drive data security and compliance initiatives, including classification, encryption strategies, and role-based access control across Azure and SQL environments.
• Collaborate with data engineers, analysts, and product owners to ensure governance is embedded into data pipelines and analytics solutions.
• Partner with infrastructure and cybersecurity teams to implement data protection controls, including TDE, Dynamic Data Masking, and Always Encrypted features.
• Guide data cataloging and metadata management efforts using Microsoft Purview or similar, improving data discoverability and lineage.
• Support AI and ML solution design by ensuring availability of trusted and traceable data across source systems and data platforms.
• Lead, mentor, and develop a team of governance and MDM analysts.

• Proven experience leading enterprise Data Governance programs, including:
• Policy development for data ownership, stewardship, and lifecycle management
• Implementation of data quality rules, scorecards, and issue remediation workflows
• Alignment of data standards

• Work in collaboration with the Enterprise Data Governance committee to represent the technical ownership of the Data Analytics and MDM environment.
• Deep knowledge of Master Data Management (MDM) principles and practices, with hands-on expertise in Reltio or a comparable cloud-native MDM platform

• Strong understanding of SQL Server and Synapse-based data environments, including:
• Governance of structured data models, naming conventions, and change control
• Implementing data profiling, auditing, and quality monitoring in SQL databases
• Experience working in an Azure-based analytics stack, especially with services such as:
• Azure Data Lake Storage, Azure Synapse Serverless + Dedicated SQL, Synapse Analytics, Data Factory, Purview, and Key Vault

• Strong SQL skills and ability to deep dive into troubleshooting data quality issues
• Expertise in data security and encryption strategies, including:
• Column-level and row-level security implementation in SQL and Synapse
• Use of Dynamic Data Masking, Always Encrypted, and Transparent Data Encryption (TDE)
• Governance policies for PII/PHI handling, data classification, and Azure Information Protection

• Ability to define and enforce data access controls and role-based security models in coordination with identity and access management (IAM) practices
• Experience implementing and managing data cataloging and metadata management tools, such as Microsoft Purview
• Knowledge of data lineage tracking, impact analysis, and integrating governance metadata into development pipelines
• Strategic mindset to support AI and advanced analytics enablement, including:
• Ensuring foundational data is trusted, complete, and traceable
• Collaborating with…