Siemens Healthineers
Project Manager - Data Analytics (Supply Chain)
Siemens Healthineers, Las Vegas, Nevada, us, 89105
Overview
Project Manager - Data Analytics (Supply Chain) at Varian Medical Systems, a Siemens Healthineers company. Lead strategic data initiatives within Varian’s Supply Chain Plan & Materials organization. Drive analytics, digital transformation, and process-improvement projects that enhance supply chain visibility, planning accuracy, operational efficiency, and overall performance. Partner with cross-functional teams to convert complex data into actionable insights, streamline core planning and materials workflows, and embed a culture of data-driven decision-making across SCM Plan & Materials. Note:
This role preference is onsite 2 days/week at a Varian location. 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 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 by documenting processes, standardizing data workflows, and implementing scalable solutions that enhance supply chain visibility and responsiveness. What You Will Have
Bachelors degree in Computer Science, Supply Chain, Data Analytics, or related field and 3+ years of experience OR Masters degree and 1+ years 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. Benefits and Employment Details
The base pay range for this position is: $83,280.00 - $124,920.00 USD. Factors which may affect starting pay include geography/market, skills, education, experience, and other qualifications. The Company offers benefits including medical, dental, vision, 401(k) retirement plan, life insurance, long-term and short-term disability, paid parking/public transportation, paid time off, paid sick and safe time, subject to eligibility requirements. Commission eligibility details, if applicable, will follow company plan terms. Equal Employment Opportunity
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 status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or other categories protected by law. EEO is the Law: Applicants and employees are protected under Federal law from discrimination. Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity and will provide reasonable accommodations as needed. For accommodation requests, contact HR People Connect. California Privacy Notice and Export Control statements apply as described by the company. For details, please refer to the company career page.
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Project Manager - Data Analytics (Supply Chain) at Varian Medical Systems, a Siemens Healthineers company. Lead strategic data initiatives within Varian’s Supply Chain Plan & Materials organization. Drive analytics, digital transformation, and process-improvement projects that enhance supply chain visibility, planning accuracy, operational efficiency, and overall performance. Partner with cross-functional teams to convert complex data into actionable insights, streamline core planning and materials workflows, and embed a culture of data-driven decision-making across SCM Plan & Materials. Note:
This role preference is onsite 2 days/week at a Varian location. 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 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 by documenting processes, standardizing data workflows, and implementing scalable solutions that enhance supply chain visibility and responsiveness. What You Will Have
Bachelors degree in Computer Science, Supply Chain, Data Analytics, or related field and 3+ years of experience OR Masters degree and 1+ years 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. Benefits and Employment Details
The base pay range for this position is: $83,280.00 - $124,920.00 USD. Factors which may affect starting pay include geography/market, skills, education, experience, and other qualifications. The Company offers benefits including medical, dental, vision, 401(k) retirement plan, life insurance, long-term and short-term disability, paid parking/public transportation, paid time off, paid sick and safe time, subject to eligibility requirements. Commission eligibility details, if applicable, will follow company plan terms. Equal Employment Opportunity
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 status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or other categories protected by law. EEO is the Law: Applicants and employees are protected under Federal law from discrimination. Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity and will provide reasonable accommodations as needed. For accommodation requests, contact HR People Connect. California Privacy Notice and Export Control statements apply as described by the company. For details, please refer to the company career page.
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