Group Manager- Business Analyst Lam Research

  • company name Lam Research
  • working location Office Location
  • job type Full Time

Experience: 8 - 8 years required

Pay:

Salary Information not included

Type: Full Time

Location: All India

Skills: Master data management, data governance, Business Analytics, data science, Technical Skills, Business Acumen, Python, SQL, Automation projects, Supply Chain domain, Sap S4, Informatica MDM, PowerBI, Aiml, LeanSix Sigma

About Lam Research

Job Description

The Group Youll Be A Part Of LIDAS (Lam India Data Analytics and Sciences) team is responsible to provide best-in-class analytics solutions that help improve business decisions in Global Operations and other business sub-functions across Lam. This Organization, a Center of Excellence (CoE), consists of a high-performing team of experts who collaborate cross-functionally and provide analytics solutions to various business functions to suit their business needs. This team strives to improve the productivity & efficiency of business processes through business analytics, data science & automation projects. The resulting projects help accelerate businesses/stakeholders in decision-making by providing data insights. The team continuously develops the required technical skills and business acumen to help solve complex business problems & Use Cases in the semiconductor, manufacturing, and supply chain domains for the company. The Sr. Group Manager of Master Data Management (MDM) & Data Governance is a unique opportunity to support the transformation to enable future business growth at an unprecedented level. The Impact Youll Make In a manufacturing environment, drives the long-range strategic planning process for operations by overseeing and managing all manufacturing operations, including manufacturing itself, production control, product engineering, manufacturing engineering, equipment engineering, inventory control, potential materials functions, such as purchasing, and shipping/receiving activities. Defines goals, improves technologies, and resolves problems in conjunction with managers of manufacturing, quality assurance, engineering, and sales. Translates customer requirements into state-of-the-art manufacturing strategies and processes, resulting in cost-effective processing and profitable manufacturing of company products. Develops operations-related plans, budgets, and policies and procedures. Maintains safety and regulatory compliance relating to the production facility. May direct international manufacturing operations. Selects, develops, and evaluates personnel to ensure the efficient operation of the function. What Youll Do Build robust master data for Global OPS owned data to support business transformation and execute data governance to ensure it meets the Global Operations strategic objectives and goals Establish master data with authoritative source, reconciled data sets, validated 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 Preferred Qualifications Bachelors degree in computer science or business Operations supply chain, or related field. Masters or MBA preferred . 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 in leading/fast-growth companies Business acumen within the Supply Chain domain combined with top notch hands on technical skills to work in matrix org 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 2 full life cycle experience in business transformation programs Outstanding communication at all levels across the organizations 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 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 youll 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 youll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.,