Sr. Manager, Business Operations Management at Lam Research

Livermore, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Master Data Management, Data Governance, Project Management, Data Quality, Data Stewardship, Predictive Analytics, Prescriptive Analytics, SQL, SAP S4, Informatica MDM, PowerBI, AI, Machine Learning, Lean Six Sigma, Supply Chain, Manufacturing

Industry

Semiconductor Manufacturing

Description

Manager of Technical Program Management related to Master Data Management (MDM) & Data Governance is a unique opportunity to support the transformation to enable future business growth at an unprecedented level. Manages people who lead cross-functional teams that are focused on driving and delivering impeccable data management, governance, and quality. Develops, defines, and executes project plans, timelines, and deliverables. Build robust master data for Global OPS owned data to support business transformation and execute data governance to ensure it meets the Global Operation's strategic objectives and goals. Establish master data with authoritative source, reconciled data sets, validate high-quality data standards based on Common Data Models (CDMs). Ensure E2E data management for CDEs (Critical Data Elements) for flawless business execution. Be a “Spoke” to the “Hub” in governing data by delivering quality metadata to enable data dictionary/catalog, supporting lineage to create data transparency, and work with the SMEs to establish data stewardship with the desired user access control. Enable business insights for critical decisions by providing reliable and consistent data sets. Lead the adoption of industry-standard/best practices to support business scalability and significant business growth in the coming years. Help to define problem statements, vision/plan, success criteria, business benefits, and accountability within the team. Seamlessly collaborate and work across multiple teams (internal and external) to implement the solutions. Lead change to ensure the effective adoption of the processes and systems by the end-user community. Measure transformation results to ensure adherence to the goals. Take appropriate corrective actions or continuous improvement for any deviation. Solve complex problems by bringing thought leadership and influencing. Bachelor's degree in computer science or business operations, supply chain, or related field. Master's or MBA preferred. 6 - 8 years of management experience. 12 years' experience in a similar role. Hands-on experience in systems/technology implementation (e.g., SAP S4, Informatica MDM, PowerBI/App, AI/ML, Python, strong SQL, etc.) including predictive/prescriptive analytics. 8+ years of experience in building Master Data Management and Data Governance practice. Strong knowledge of operational processes, data management, governance, and experience in leading fast-growth companies. Business acumen within the Supply Chain domain combined with top-notch hands-on technical skills to work in a matrix organizational structure. Ability to influence decision-making by driving partnerships and alignment across the organizations. Delivered large programs with business process reengineering, Lean/Six Sigma, and problem-solving methodology. Experience in leading cross-functional teams and influencing stakeholders across a global organization. Two full life cycle experiences in business transformation programs. Outstanding communication at all levels across the organizations. WFE or discrete manufacturing industry experience with ETO/CTO/MTO business model in high-volume manufacturing. Subject matter expertise in S&OP, order fulfillment, supply chain, logistics, and manufacturing desirable. Ability to analyze and interpret large data sets for decision support. Able to work with minimal direct guidance or direction. Ability to thrive in a dynamic and ambiguous environment. Understanding of best practices in the industry and application to real life.

Responsibilities

Manage cross-functional teams focused on data management and governance to support business transformation. Lead the adoption of best practices and ensure effective data management for critical business decisions.