Siemens Healthineers
Project Manager - Data Analytics (Supply Chain)
Siemens Healthineers, Atlanta, Georgia, United States, 30383
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, has you in focus. We are pioneering breakthroughs in healthcare and building a global community that celebrates diversity, inclusivity, and professional growth.
Preference is for a candidate who can be 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 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 with 3+ years of experience OR Master’s 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.
Base pay range: $83,280.00 – $124,920.00 USD.
Factors such as geography, skills, education, experience, and other qualifications may impact starting pay.
This is a commission‑eligible position; eligibility follows the Company’s plan.
Benefits include medical, dental, vision, 401(k), life, disability, paid parking/public transportation, paid time off, paid sick and safe time.
Who we are We are a team of over 72,000 highly dedicated Healthineers in more than 70 countries.
As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they face.
How we work When you join Siemens Healthineers, you become part of a global team of scientists, clinicians, developers, researchers, and specialists who value diverse ideas and contribute to shaping the future of healthcare.
We value each individual’s potential and champion collaboration across backgrounds, cultures, and disciplines.
Equal Employment Opportunity Statement:
Siemens Healthineers is an Equal Opportunity and affirmative action employer.
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 identity, or other categories protected by law.
EEO is the Law:
Applicants and employees are protected under federal law from discrimination.
To learn more, click the provided links.
Reasonable Accommodations:
We commit to equal employment opportunity and will provide reasonable accommodations for persons with disabilities throughout the selection process.
For assistance, contact our HR People Connect Contact Center.
Privacy & Export Control:
We respect your data privacy and adhere to GDPR and other regulations.
Export control requirements apply to this role and related technology.
Please review the provided notices for full details.
For more information about Siemens Healthineers businesses and employment opportunities, visit our company page.
#J-18808-Ljbffr
Project Manager - Data Analytics (Supply Chain)
role at
Siemens Healthineers .
Varian Medical Systems, a Siemens Healthineers company, has you in focus. We are pioneering breakthroughs in healthcare and building a global community that celebrates diversity, inclusivity, and professional growth.
Preference is for a candidate who can be 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 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 with 3+ years of experience OR Master’s 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.
Base pay range: $83,280.00 – $124,920.00 USD.
Factors such as geography, skills, education, experience, and other qualifications may impact starting pay.
This is a commission‑eligible position; eligibility follows the Company’s plan.
Benefits include medical, dental, vision, 401(k), life, disability, paid parking/public transportation, paid time off, paid sick and safe time.
Who we are We are a team of over 72,000 highly dedicated Healthineers in more than 70 countries.
As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they face.
How we work When you join Siemens Healthineers, you become part of a global team of scientists, clinicians, developers, researchers, and specialists who value diverse ideas and contribute to shaping the future of healthcare.
We value each individual’s potential and champion collaboration across backgrounds, cultures, and disciplines.
Equal Employment Opportunity Statement:
Siemens Healthineers is an Equal Opportunity and affirmative action employer.
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 identity, or other categories protected by law.
EEO is the Law:
Applicants and employees are protected under federal law from discrimination.
To learn more, click the provided links.
Reasonable Accommodations:
We commit to equal employment opportunity and will provide reasonable accommodations for persons with disabilities throughout the selection process.
For assistance, contact our HR People Connect Contact Center.
Privacy & Export Control:
We respect your data privacy and adhere to GDPR and other regulations.
Export control requirements apply to this role and related technology.
Please review the provided notices for full details.
For more information about Siemens Healthineers businesses and employment opportunities, visit our company page.
#J-18808-Ljbffr