Data Governance Quality Lead

You will be part of the DT Data Governance & Master Data Operations organization, a critical pillar of the company's Digital Transformation journey. This group is responsible for establishing enterprisewide data governance, metadata, data quality, and master data capabilities that enable trusted operations, analytics, and data products across a highly complex, cloudcentric technology landscape.

The team operates at the intersection of Business Operations, SAP and enterprise platforms, data engineering, architecture, analytics, and product teams to ensure data is well governed, consistently defined, and fit for use across the enterprise. Leveraging Cloud Data Governance & Catalog (CDGC) platforms, SILK architecture, and AIpowered data analytics, the group focuses on embedding governance and quality by design, enabling data to scale reliably as the business grows.

The organization values collaboration, ownership, and pragmatic innovation. Team members are encouraged to influence outcomes, challenge the status quo, and help shape modern data governance practices that drive enterprise agility and longterm business value.

The Data Governance Quality Lead is an experienced, businessfacing 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 decisionmaking and scalable data consumption.

This position drives the definition and implementation of data quality rules, metrics, and controls, working closely with business stakeholders, SAP teams, and data quality engineering teams to proactively prevent downstream data issues within a highly complex, cloudcentric data ecosystem.

• Design, implement, and operationalize enterprise data quality processes aligned with data governance standards and the enterprise digital transformation roadmap.
• Own the endtoend 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.

• Facilitate system and data flow mapping within the data governance platform, including documentation of data lineage, system interfaces, and associated data policies.
• Lead proactive initiatives to prevent data quality issues from propagating to downstream systems, reporting, and analytics environments.
• Define, track, and communicate data quality KPIs, scorecards, issue trends, and remediation progress to stakeholders and governance forums.
• Perform data analysis on large and complex data sets to identify trends, root causes of data quality issues, and continuous improvement opportunities.
• Define and evolve the enterprise data quality operating model in partnership with the Data Governance Office, ensuring alignment with organizational strategy and governance objectives.
• Mentor data stewards and domain leads on data quality standards, tooling, roles, and best practices to drive consistent adoption across data domains.
• Provide thought leadership, frameworks, and best practices for the effective use of data management and governance tools to deliver scalable, sustainable data governance and data quality solutions.

Required Qualifications

• 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).
• Working knowledge of relational database technologies (e.g., SQL Server, Oracle, Teradata) and data querying concepts.
• Familiarity with cloud data environments and modern data platforms, including data lakes, analytics platforms, and integration patterns.
• Strong analytical, problemsolving, communication, and stakeholder management skills, with the ability to influence technical and business teams.

• Experience working in highgrowth, largescale, or highly complex enterprise environments, preferably within HighTech Manufacturing, Semiconductor, or related industries.
• Handson 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.

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

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