Project Manager, Business Intelligence & Data Analytics

Applied Materials•Benicia, CA
•$96,000 - $132,000•Onsite

About The Position

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.

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 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.
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