Project Manager – Data Analytics (Supply Chain)

Siemens Healthineers AG; Atlanta (GA); On-site; USD 108,000 - 149,000; Full time

Job summary

Siemens Healthineers AG is seeking a Project Manager - Data Analytics to lead strategic data initiatives within the Supply Chain Plan & Materials organization. You will drive analytics, digital transformation, and process improvements across planning and procurement, partnering with cross-functional teams to turn data into actionable insights.

Responsibilities include designing data pipelines, building dashboards, and governing data quality while guiding analytics adoption and continuous

Qualifications

• Bachelor's degree with 5 years of experience in supply chain or operations.
• Proven experience in project management and data analytics within supply chain, operations, or manufacturing.
• Advanced SAP expertise in MM/PP/MRP and related modules.
• Track record of leading analytics and process optimization projects from concept through execution.
• Strong analytical, problem-solving, and data-to-insight capabilities.
• Proficiency with data visualization and analytics tools (Power BI, Qlik Sense) and data languages (SQL, Python, R, VBA).
• Attention to data quality and governance; excellent communication and stakeholder management.

Responsibilities

• Lead cross-functional analytics and process improvement initiatives to optimize planning, purchasing, and material flow.
• Analyze complex supply chain challenges using SAP and other enterprise systems to identify gaps and opportunities.
• Design, automate, and optimize data pipelines and reporting workflows for planning and procurement.
• Develop dynamic dashboards to communicate performance trends, forecast accuracy, and supplier performance.
• Collaborate with SCM, Finance, IT, and other partners to align analytics with business objectives.
• Establish and maintain data governance for SAP and analytics platforms.
• Drive analytics adoption and data literacy among planners and leaders.
• Document processes and implement scalable solutions to improve visibility and responsiveness.

Skills

Project management

Data analytics

Stakeholder management

Analytical thinking

Communication

Education

Bachelor's degree

Tools

Power BI

Qlik Sense

SQL

Python

R

VBA

Job description

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.

We are seeking a highly analytical, technically skilled, and results-oriented Project Manager - Data Analytics 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. You will partner closely 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.

Key Responsibilities

• 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.

Required Qualifications

• Bachelor's Degree with 5 years of experience in supply chain.
• 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.

Preferred Qualifications

• 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.

Who we are

We are a team of more than 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 are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.

How we work

When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

To find out more about Siemens Healthineers businesses, please visit our company page here.

The base pay range for this position is:

$108,020 - $148,522

Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time.

Equal Employment Opportunity Statement

Siemens Healthineers is an Equal Opportunity and Affluent Employment Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their 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 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.

California Privacy Notice

California residents have the right to receive additional notices about their personal information. To learn more, click here.

Export Control

\"A successful candidate must be able to work with controlled technology in accordance with US export control law.\" \"It is Siemens Healthineers' policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations.\"

Data Privacy

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