{"id":2704949,"url":"https://alion.io/job/lam-research-mgr-global-operations-analytics-ai-enablement","title":"Mgr, Global Operations Analytics & AI Enablement","company":{"id":58649,"name":"Lam Research","domain":"lamresearch.com","url":"https://alion.io/company/lam-research","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"C","score":57,"open_postings":487,"ghost_share":0.433,"stale_share":0.078,"repost_share":0.682,"time_to_fill_p50_days":73,"computed_at":"2026-11-15T07:52:55Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tualatin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":85000,"max_usd":159000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1085},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Power BI","optional":false},{"name":"SAP BusinessObjects","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-08-09T14:23:31Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-11-15T16:47:31Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":98},"description":"The group you’ll be a part of\nThe Global Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.\nThe impact you’ll make\nAs an Operations Analyst Manager at Lam Research, you will lead a team of 8-10 Operations Analysts responsible for delivering actionable insights, scalable reporting, operational analytics, and process improvement across Global Operations. This role will provide leadership, coaching, prioritization, and accountability to ensure the team delivers high-quality data products, analytical standards, and business recommendations that improve operational performance. You will also play a critical role in integrating artificial intelligence into scalable solutions and governed datasets, enabling predictive analytics, automation, and faster decision-making across the organization.\nWhat you’ll do\nLead, coach, and develop a Operations Analyst team supporting Global Operations analytics, reporting, dashboards, and process improvement initiatives.\nEstablish team priorities, operating cadence, performance expectations, and accountability mechanisms to ensure timely delivery of high-impact analytical solutions.\nDrive development, automation, and governance of scalable reporting solutions, dashboards, datasets, and self-service analytics using tools such as Excel, Power BI, SAP Business Objects, and related platforms.\nIntegrate AI-enabled capabilities into operational workflows, datasets, and analytics solutions to reduce manual effort, improve decision quality, and enable predictive insights.\nPartner with business, digital transformation, and functional stakeholders to identify high-value automation and AI use cases aligned to operational priorities and measurable business outcomes.\nEnsure compliance with analytical standards, data governance policies, access controls, and data integrity requirements across team-owned datasets and reporting solutions.\nTranslate complex operational data into clear insights, executive-ready narratives, and actionable recommendations for leadership decision-making.\nIdentify process gaps, operational risks, and performance trends; lead the team in developing data-driven recommendations and scalable countermeasures.\nFacilitate change management for new data products, AI-enabled tools, and process changes to ensure adoption, sustainment, and measurable value realization.\nMeasure and publish operational performance against established metrics and targets while continuously improving reporting accuracy, usability, and business relevance.\nWho we’re looking for\nBachelor’s degree in business, supply chain, engineering, data analytics, operations, or related field with 4-6 years of supervisory experience, advanced degree preferred; or equivalent experience. \nDemonstrated experience leading, supervising, or mentoring professional analysts or analytical teams in a global, matrixed operations environment. \nStrong experience developing data visualizations, reports, dashboards, and business insights using tools such as Power BI, Excel, SAP Business Objects, or similar platforms. \nDemonstrated ability to define analytical standards, govern datasets, improve data quality, and ensure reporting accuracy across multiple stakeholders and business processes. \nExperience applying AI, automation, predictive analytics, or advanced analytics concepts to improve operational efficiency, decision-making, and scalability. \nDemonstrated proficiency in process improvement methodologies, change management, and operational excellence practices. \nStrong knowledge of planning, order execution, supply chain, manufacturing, logistics, or related semiconductor operations processes. \nAbility to influence cross-functional stakeholders, challenge assumptions, and align teams toward long-term, data-driven solutions. \nExcellent communication, executive presentation, coaching, and stakeholder management skills. \nPreferred qualifications\nMBA or equivalent advanced degree.\nExperience leading analytics or digital transformation teams supporting Global Operations, Order Management, Order Execution, Manufacturing, Supply Chain, Production Planning, or related functions. \nHands-on experience with AI-enabled analytics, machine learning concepts, data pipelines, semantic models, or governed enterprise datasets. \nLean Six Sigma Black Belt or equivalent continuous improvement certification. \nPMP or equivalent project/program management certification. \nSemiconductor industry experience highly preferred.\nOur commitment\nWe 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.\nLam 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.\nLam 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.\n#LI-KK1\nOur Perks and Benefits\nAt Lam, our people make amazing things possible. 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