Project Manager – Data Analytics (Supply Chain)

Siemens Healthineers•Atlanta, GA

1d•$108,020 - $148,522

About The Position

The Project Manager – Data Analytics will lead strategic data initiatives within Varian’s Supply Chain Plan & Materials organization. The role drives analytics, digital transformation, and process-improvement projects to improve supply chain visibility, planning accuracy, operational efficiency, and performance. It works with cross-functional teams to turn complex data into actionable insights, streamline planning and materials workflows, and promote data-driven decision-making across SCM Plan & Materials.

Requirements

Bachelor’s degree and 5 years of experience in supply chain.
Proven project management and data analytics experience in a supply chain, operations, or manufacturing environment.
Advanced SAP expertise in planning and purchasing processes, including MRP, BOM management, source lists/Info Records, and production planning (MM, PP, and related modules).
Experience leading analytics and process-optimization projects from concept through execution and delivering measurable performance improvements.
Strong analytical and problem-solving capabilities, including the ability to translate data into actionable insights and process enhancements.
Proficiency with data visualization and analytics tools such as Power BI and Qlik Sense, and data analysis languages or tools such as SQL, VBA, Python, or R.
High attention to detail and commitment to data quality, accuracy, and governance.
Exceptional communication, collaboration, and stakeholder-management skills, with the ability to influence across organizational levels.
Ability to work with controlled technology in accordance with US export control law.

Nice To Haves

Experience in supply chain analytics, including forecasting, inventory optimization, and supplier performance measurement.
Experience with SAP analytics and data integration technologies such as BW, HANA, or Snowflake-based data platforms.
Knowledge of Lean, Six Sigma, Agile, or other continuous-improvement or digital-transformation methodologies.
Experience developing and deploying machine-learning or AI models for predictive and prescriptive analytics.

Responsibilities

Lead cross-functional analytics and process-improvement initiatives to optimize planning, purchasing, material flow, and supply chain performance.
Analyze 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.
Develop dashboards and visualizations 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 align analytics initiatives 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.
Promote analytics adoption and data literacy so planners, buyers, and leaders can use insights in daily operations and strategic planning.
Drive continuous improvement by documenting processes, standardizing data workflows, and implementing scalable solutions that improve supply chain visibility and responsiveness.