Data Governance Quality Lead

About the role

The Data Governance Quality Lead is an experienced, business-facing role responsible for executing enterprise data governance and data quality capabilities across core business domains. This role ensures that data quality standards are embedded into operational systems, analytics platforms, and data products to enable trusted decision-making and scalable data consumption.

Responsibilities

• Design, implement, and operationalize enterprise data quality processes aligned with data governance standards and the enterprise digital transformation roadmap.
• Own the end-to-end lifecycle of business data quality rules, including definition, validation, thresholds, metrics, and ongoing monitoring.
• Compile, curate, and maintain governed data assets—including Critical Data Elements (CDEs), governed attributes, and data quality rules—within data governance platforms, ensuring inventories remain current and revisions are consistently managed.
• Leverage Informatica MDM, CDGC, and SILK architecture to execute data governance and quality monitoring; identify and recommend additional tools, services, or capabilities to address data measurement and reporting gaps.
• Partner with business stakeholders to translate business requirements into functional and technical data quality specifications.

Requirements

• Bachelor’s degree in business, Data Science, Mathematics, Statistics, or a related field.
• 8+ years of experience in data quality, data governance, and/or master data management within complex enterprise environments.
• Proven experience designing and implementing data quality frameworks, including business rules, metrics, and monitoring controls.
• Strong working knowledge of data governance platforms such as Informatica (Axon/CDGC), Collibra, Alation, or equivalent tools.
• Solid understanding of SAP core and master data models and enterprise data domains (e.g., customer, product, supplier, finance).
• Familiarity with cloud data environments and modern data platforms, including data lakes, analytics platforms, and integration patterns.
• Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to influence technical and business teams.

Preferred Qualifications

• Experience working in high-growth, large-scale, or highly complex enterprise environments, preferably within High-Tech Manufacturing, Semiconductor, or related industries.
• Hands-on experience with SAP S/4HANA or other ERP platforms.
• Exposure to analytics, AI/ML use cases, or data product development.
• Demonstrated experience partnering closely with data engineering, platform, and architecture teams to deliver enterprise data solutions.

Benefits

Salary range for this position: $114,000.00 - $253,000.00. The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.