Title:  Director - Master Data Management

Job Summary

We are seeking a visionary and experienced Director to lead our Master Data Governance (MDG) and delivery organization. This role is pivotal in shaping and executing NetApp’s enterprise-wide data governance strategy, ensuring high-quality, trusted master data that powers business operations, analytics, and AI-driven innovation. The ideal candidate will bring deep expertise in data governance frameworks, metadata and data quality management, and MDM platforms (e.g., Oracle, SAP MDG, Informatica, Collibra), with a proven ability to lead cross-functional teams and drive enterprise transformation

Location: RTP - Raleigh, North Carolina 

This is a Hybrid role.

Job Requirements

• Enterprise Data Governance Strategy: Define and implement a scalable, federated data governance model that aligns with NetApp’s strategic priorities and supports both operational and analytical use cases.
• Organizational Leadership: Build and mentor a high-performing team of governance leads, data analysts and product managers. Drive a culture of continuous improvement and innovation.
• Cross-Functional Collaboration: Collaborate with IT, business, and executive stakeholders to translate business needs into data governance initiatives and drive adoption across the enterprise.
• Stewardship & Governance Councils: Establish and lead data stewardship programs, governance councils, and domain-specific working groups to drive accountability, data literacy, and ownership across business units.
• Policy & Standards Development: Develop and enforce enterprise-wide data policies, standards, and procedures for master data domains (e.g., Product, Customer, Vendor, Contact, Entitlement & Install Base).
• Metadata & Data Quality Management: Oversee the implementation of metadata management and data quality frameworks, including profiling, monitoring, and remediation processes.
• MDM Platform Ownership: Act as the business/system owner for master data platforms and tools (e.g., SAP MDG, Collibra), ensuring alignment with enterprise architecture and data product strategies.
• AI & Analytics Enablement: Partner with data science and analytics teams to ensure master data readiness for AI/GenAI use cases, including semantic layer integration and data productization
• Compliance & Risk Management: Ensure compliance with regulatory and internal data governance requirements, including audit readiness, access controls, and data lifecycle management.

Requirements and Education

• 15 years of experience in data governance, master data management, or enterprise data strategy, with at least 5 years in a senior leadership role.
• Demonstrated success in implementing enterprise MDM and data governance programs in complex, global organizations.
• Deep understanding of data governance frameworks (e.g., DAMA-DMBOK), data stewardship models, and data quality methodologies.
• Hands-on experience with MDM and governance tools such as SAP MDG, Informatica MDM, Collibra, or equivalent.
• Strong knowledge of cloud-based data platforms (e.g., Oracle, Snowflake, Azure) and data consumption patterns (e.g., data products, semantic layers).
• Proven ability to influence senior stakeholders and drive cross-functional alignment.
• Excellent communication, leadership, and change management skills.

Preferred

• Experience in regulated industries or environments with complex compliance requirements.
• Familiarity with AI/ML data readiness and data mesh/data fabric architectures.
• Certification in data governance or MDM (e.g., CDMP, Informatica Certified MDM Sp