Project Manager

Project Manager - Data Analytics (Supply Chain) Join to apply for the Project Manager - Data Analytics (Supply Chain) role at Siemens Healthineers. Varian Medical Systems, a Siemens Healthineers company, seeks a highly analytical, technically skilled, and results‑oriented Project Manager with a Data Analytics emphasis to lead strategic data initiatives within Varian’s Supply Chain Plan & Materials organization. In this role, you will drive high‑impact analytics, digital transformation, and process‑improvement projects that enhance supply chain visibility, planning accuracy, operational efficiency, and overall performance. What You Will Do Lead cross‑functional analytics and process‑improvement initiatives to optimize planning, purchasing, material flow, and overall supply chain performance. Analyze complex supply‑chain challenges using SAP data (MM, PP, MRP) and other enterprise systems to identify operational gaps, risks, and opportunities. Design, automate, and optimize data pipelines and reporting workflows to improve data accuracy, consistency, and timeliness across planning and procurement activities. Develop dynamic dashboards and visualizations (Power BI, Qlik Sense, etc.) to communicate performance trends, forecast accuracy, inventory health, material availability, and supplier performance. Collaborate with Material Master Data, Supply Chain, Operations, Procurement, Finance, and IT partners to ensure analytics initiatives align with business objectives and digital transformation strategies. Establish and maintain strong data governance practices across SAP and analytics platforms to support reliable, real‑time decision‑making. Champion analytics adoption and data literacy, enabling planners, buyers, and leaders to leverage insights in daily operations and strategic planning. Drive continuous improvement, documenting processes, standardizing data workflows, and implementing scalable solutions that enhance supply chain visibility and responsiveness. What You Will Have Bachelor’s degree in Computer Science, Supply Chain, Data Analytics, or related field and 3+ years of experience OR Master’s degree and 1+ year of experience. Proven experience in project management and data analytics within a supply chain, operations, or manufacturing environment. Advanced SAP expertise in planning and purchasing processes, including MRP, BOM management, source list/Info Records, and production planning (MM, PP, related modules). Track record of leading analytics and process‑optimization projects from concept through execution, delivering measurable improvements in performance. Strong analytical and problem‑solving capabilities with the ability to translate data into actionable insights and process enhancements. Proficiency with data visualization and analytics tools (Power BI, Qlik Sense) and data‑analysis languages/tools (SQL, VBA, Python, or R). High attention to detail and strong commitment to data quality, accuracy, and governance. Exceptional communication, collaboration, and stakeholder‑management skills, with demonstrated ability to influence across all organizational levels. What Will Set You Apart Experience in supply‑chain analytics, including forecasting, inventory optimization, and supplier performance measurement. Experience with SAP analytics and data integration technologies (BW, HANA, or Snowflake‑based data platforms). Knowledge of Lean, Six Sigma, Agile, or other continuous improvement/digital transformation methodologies. Experience developing and deploying machine‑learning or AI models to support predictive and prescriptive analytics. The base pay range for this position is $83,280.00 – $124,920.00 USD. Factors that may affect starting pay include geography/market, skills, education, experience, and other qualifications. If this is a commission‑eligible position, commission terms are in accordance with the Company's plan. The Company offers the following benefits, subject to applicable eligibility requirements: medical, dental, vision, 401(k) retirement, life insurance, long‑term and short‑term disability, paid parking/public transportation, paid time off, paid sick and safe time. Equal Employment Opportunity Statement Siemens Healthineers is an Equal Opportunity and affirmative action employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, citizenship, ancestry, sex, age, disability, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender status, sexual orientation, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law Applicants and employees are protected under federal law from discrimination. To learn more, click here. Reasonable Accommodations Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you require a reasonable accommodation in completing a job application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here. If you’re unable to complete the form, you can reach out to our HR People Connect People Contact Center for support at peopleconnectvendorsnam.func@siemens-healthineers.com. Please note HR People Connect People Contact Center will not have visibility of your application or interview status. #J-18808-Ljbffr