BP&S Reporting, Analytics & AI Program Manager

Lam Research•Tualatin, OR

4d•Hybrid

About The Position

Lam Research is seeking an experienced Reporting, Analytics & AI Program Manager to develop and maintain reporting solutions, provide data-driven insights, support AI initiatives, and ensure data quality across GWS systems and processes. The role aims to improve decision-making, drive operational efficiency, and support digital transformation through reporting, analytics, and AI-enabled solutions. The position works with enterprise data and business stakeholders to deliver recurring and ad hoc reporting, identify trends and opportunities, and help implement AI, automation, and predictive analytics solutions. It also supports data governance, user training, solution adoption, and special projects in business intelligence, process optimization, and digital transformation.

Requirements

At least 12 years of related experience with a bachelor's degree, or 8 years with a master's degree, or equivalent experience.
At least 5 years of experience in reporting, analytics, business intelligence, data management, or a related field.
At least 5 years of experience working with enterprise reporting tools and dashboards.
Experience with Power BI, Tableau, SQL, Excel, or similar reporting and analytics platforms.
Experience supporting business process improvement initiatives.
Strong analytical and problem-solving skills.
Ability to transform complex data into meaningful business insights.
Strong understanding of data governance, data quality, and reporting best practices.
Proficiency in Excel, Power BI, Microsoft Office applications, and related reporting tools.
Ability to manage multiple priorities and meet deadlines while maintaining high-quality deliverables.
Comfort working independently and as part of a team in a fast-paced, constantly changing environment.
Impeccable attention to detail.

Nice To Haves

Experience with AI technologies, automation tools, Microsoft Copilot & Cowork, Power Platform, or machine learning solutions.
Project management experience.
Experience with IWMS, SAP, enterprise solutions, data lakes or warehouses, or facilities management systems.
Experience creating executive-level dashboards and reporting solutions.
Experience with data visualization and business intelligence tools.
Working knowledge of AI, automation, and digital transformation concepts.
Proven experience in operations, business process improvement, and performance measurement.

Responsibilities

Develop, maintain, and improve dashboards, scorecards, and performance reporting for GWS leadership and business stakeholders.
Collect, analyze, and interpret data from enterprise systems, including Tririga (IWMS), EHS platforms, data lakes or warehouses, SAP, and other business applications.
Provide recurring and ad hoc reporting for operational, financial, compliance, and strategic objectives.
Monitor data quality and consistency across systems and work with stakeholders to resolve discrepancies and improve data integrity.
Identify trends, risks, and opportunities through analysis of operational and business performance data.
Support development and implementation of AI, automation, and predictive analytics solutions to improve efficiency and reduce manual work.
Gather stakeholder requirements and translate them into reporting, analytics, and AI-enabled solutions.
Create and maintain data models, reporting standards, and documentation to support consistency, scalability, and governance.
Train and support users on reporting tools, dashboards, AI capabilities, and data interpretation.
Monitor adoption and effectiveness of reporting and AI solutions and recommend continuous improvements.
Act as a subject matter expert for reporting, analytics, and AI-related requests and initiatives.
Support special projects involving data visualization, business intelligence, process optimization, and digital transformation.
Collaborate with IT, Digital Transformation, Facilities Operations, Real Estate, EHS, Finance, and other teams on enterprise reporting requirements.
Recommend ways to leverage data, analytics, automation, and AI to improve business processes and operational performance.