Data Governance Metadata Lead

The group you’ll be a part of

You will be part of the DT Data Governance & Master Data Operations organization, a critical pillar within the company’s Digital Transformation journey. The group is responsible for establishing enterprise-wide data governance, metadata, data quality, and master data capabilities that enable trusted operations, analytics, and data products across a highly complex, cloud-centric technical landscape.

This team works 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. Leveraging Cloud Data Governance & Catalogue (CDGC) platforms, Informatica MDM and SILK architecture and AI Powered Data Analytics, the group focuses on embedding governance and quality by design-so data scales reliably as the business grows.

The organization values collaboration, ownership, and practical innovation. Team members are encouraged to influence outcomes, challenge the status quo, and help shape modern data governance practices that support enterprise agility and long-term business value.

The impact you’ll make

The Data Governance Metadata Lead is an experienced, business-facing individual contributor role responsible for defining and executing enterprise metadata, catalog, and semantic governance capabilities. This role ensures enterprise data is discoverable, understandable, lineage-aware, and consistently defined, enabling trusted analytics, operational reporting, and data products across the organization.

As part of the Data Governance Office, this role plays a critical role in shaping how data context is captured and operationalized across a complex, cloud-centric ecosystem spanning SAP, enterprise platforms, analytics environments, and data products. The position works through influence, collaboration, and hands-on execution, partnering closely with business, engineering, and platform teams to embed metadata and governance practices into day-to-day data operations.

What you’ll do

· Define and execute enterprise metadata governance practices, including business glossaries, definitions, semantic alignment, and lineage standards.

· Own the end-to-end lifecycle of governed metadata assets, ensuring accuracy, consistency, and ongoing maintenance across domains.

· Enable data discovery, transparency, and trust by operationalizing catalog, lineage, and metadata capabilities within governance platforms.

· Partner with business, data engineering, architecture, and platform teams to capture and align business and technical metadata at the source.

· Facilitate system and data flow documentation, supporting lineage, impact analysis, and governed data usage.

· Support data stewardship by guiding domain stewards on metadata standards, ownership, and catalog usage.

· Monitor and report on metadata coverage, completeness, and adoption metrics to highlight gaps and improvement areas.

· Contribute to the evolution of the enterprise data governance operating model through hands-on execution, collaboration, and continuous improvement.

· Support execution of governance priorities and stakeholder alignment by acting as a point lead for metadata-focused workstreams, including implementation and adoption of data policies and standards.

· Support data policy interpretation and standards implementation by translating governance requirements into actionable metadata definitions and catalog constructs.

· Identify metadata gaps, conflicts, and exceptions and partner with the DGO and domain teams to drive resolution and improvement.

Who we’re looking for

· Bachelor’s degree in information systems, Data Science, Business, Engineering, or a related field.

· 8+ years of experience in data governance, metadata management, data cataloging, or enterprise data management.

· Proven experience building and operating enterprise metadata frameworks, including business glossaries and lineage.

· Strong hands-on knowledge of data governance and catalog platforms (e.g., Informatica CDGC/Axon, Collibra, Alation, or similar).

· Solid understanding of SAP core and master data models and common enterprise data domains.

· Working knowledge of relational databases and modern data platforms, with an understanding of how metadata is generated and consumed.

· Strong communication and stakeholder-management skills with the ability to influence across business and technical teams.

Preferred qualifications

· Experience in large-scale, high-growth, or highly complex enterprise environments, preferably in High-Tech Manufacturing or Semiconductor industries.

· Hands-on exposure to SAP S/4HANA or other ERP ecosystems.

· Experience supporting analytics platforms, data products, or AI/ML initiatives where metadata and lineage are critical.

· Demonstrated partnership with data engineering, platform, and enterprise architecture teams.

· Familiarity with concepts such as data domains, semantic layers, data mesh, or data products.

Our commitment

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.