Data Analyst, Staff

LAM RESEARCH Corporation; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Lam Research Corporation seeks a seasoned data governance professional to lead the end‑to‑end management of enterprise metadata, ensuring accuracy and consistency across domains. You will operationalize catalogs and lineage, partner with data engineering, architecture, and platform teams, and guide domain stewards on standards.

Ideal candidates bring 8+ years in data governance, familiarity with SAP data models, and hands‑on experience with modern catalog tools, driving governance initiatives

Qualifications

• 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.
• 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.

Responsibilities

• 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.

Skills

Data governance

Metadata management

Data catalogs

Relational databases

Stakeholder management

Analytics platforms

Data engineering collaboration

Data domains

Education

Bachelor’s degree

Tools

Informatica CDGC/Axon

Collibra

Alation

Job description

Responsibilities

• 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.

Qualifications

• 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.
• 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.

Commitment to Diversity and Inclusion

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 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.

Work Location Models

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.