Project Manager, Business Intelligence & Data Analytics

Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology. What We Offer Salary: $96,000.00 - $132,000.00 Location: Benicia,CA You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Position Summary The Project Manager, Business Intelligence & Data Analytics is responsible for leading cross-functional projects while leveraging data analytics, business intelligence, and AI-driven insights to improve operational performance and business outcomes. This role combines project management expertise with strong analytical capabilities to drive strategic initiatives, develop actionable insights, and support data-driven decision making across the organization. The successful candidate will manage multiple projects, develop executive-level dashboards and reporting solutions, and partner with business leaders to translate operational challenges into measurable improvements. Key Responsibilities Project & Program Leadership • Lead end-to-end execution of strategic projects and programs from initiation through deployment and sustainment. • Define project scope, objectives, success metrics, timelines, resource requirements, and risk mitigation plans. • Drive project governance, milestone tracking, stakeholder communication, and executive reporting. • Ensure projects are delivered on time, within scope, and aligned with business objectives. • Facilitate cross-functional collaboration across Operations, Engineering, Supply Chain, Finance, Quality, and Manufacturing teams. • Identify process improvement opportunities and drive operational excellence initiatives. Data Analytics & Business Intelligence • Design, develop, and maintain KPI dashboards, scorecards, and business intelligence solutions that support operational and strategic decision-making. • Analyze complex operational, financial, supply chain, and performance data to identify trends, risks, and improvement opportunities. • Develop recurring and ad hoc analytics that provide actionable insights to leadership teams. • Create executive-level visualizations and reporting tools using industry best practices for usability and clarity. • Ensure data integrity, accuracy, consistency, and governance across reporting platforms. • Develop predictive and prescriptive analytical models to improve planning, forecasting, and operational performance. AI & Advanced Analytics • Apply AI-enabled tools and analytical techniques to automate reporting, improve data quality, and accelerate business insights. • Leverage machine learning, statistical analysis, and automation where appropriate to support business objectives. • Identify opportunities to integrate emerging analytics technologies into business processes. • Partner with business stakeholders to translate challenges into scalable analytical solutions. Stakeholder Engagement • Partner with business leaders to understand strategic priorities and develop reporting and analytical solutions that support decision-making. • Translate technical findings into clear business recommendations and executive presentations. • Train and support end users on dashboards, reporting tools, and self-service analytics capabilities. • Act as a trusted advisor on metrics, reporting strategy, and operational performance management. Process Improvement • Lead continuous improvement initiatives utilizing data-driven methodologies. • Standardize reporting processes, key performance indicators, and data management practices. • Support implementation of best practices for analytics governance, project management, and operational excellence. Required Qualifications Education • Bachelor’s degree in business, Engineering, Data Analytics, Information Systems, Operations Management, or related field. Experience • 5+ years of experience in project management, business intelligence, data analytics, operations, or related roles. • Experience leading cross-functional projects and driving measurable business outcomes. • Strong background in business analytics, reporting, and performance management. • Experience working with large datasets and developing executive dashboards. Technical Skills • Advanced Excel and data analysis skills. • Experience with Power BI, Tableau, or similar BI platforms. • Strong SQL and data visualization capabilities. • Familiarity with AI-powered analytics tools and automation technologies. • Understanding of data warehousing concepts and reporting architecture. Preferred Qualifications • PMP certification or equivalent project management certification. • Experience supporting Operations, Manufacturing, Supply Chain, or Engineering organizations. • Knowledge of Lean, Six Sigma, or operational excellence methodologies. • Experience developing predictive analytics or machine learning solutions. • Experience with Microsoft Power Platform (Power BI, Power Automate, Copilot Studio). Success Measures Success in this role will be measured by: • On-time delivery of strategic