Project Manager, Manufacturing Operations

Applied Materials • Benicia, CA

3d • $116,000 - $159,500 • Onsite

About The Position

The Project Manager 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.
Project Management in a Manufacturing environment is highly preferred.

Requirements

• Bachelor’s degree in business, Engineering, Data Analytics, Information Systems, Operations Management, or related field.
• 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.
• 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.

Nice To Haves

• 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).

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• Supportive work culture that encourages learning, development, and career growth.
• Opportunities to take on challenges and drive innovative solutions.
• Empowerment to push boundaries and learn every day in a supportive leading global company.
• Programs and support that encourage personal and professional growth.
• Care for employees at work, at home, or wherever they may go.
• Comprehensive benefits package.
• Eligibility for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level