Magdalena Bielaski
@magdalenabielaski
I build FinOps programs that turn cloud spending into accountable, optimized business investments.
ZimbabweWhat I'm looking for
At Harbor Freight Tools, I built the enterprise Cloud FinOps program for Databricks and Google Cloud Platform, delivering more than $2M in verified cloud cost savings through tagging, cost allocation, governance, forecasting, and optimization programs.
I partner with engineering, finance, and business teams to make cloud, data, and AI investments transparent and actionable. I’ve established chargeback and showback frameworks, led weekly FinOps governance meetings, and created executive dashboards for cloud spend, budgets, forecasts, utilization, and savings opportunities.
Earlier, I improved forecasting, inventory, and planning outcomes at Danone, Clearwater Paper, and PepsiCo through predictive analytics, statistical forecasting, automated reporting, Tableau, and Power BI.
Experience
Work history, roles, and key accomplishments
Built the enterprise Cloud FinOps program supporting Databricks and Google Cloud Platform, establishing financial governance, forecasting, executive reporting, and cloud cost management processes. Designed the enterprise cloud tagging strategy, enabling accurate cost allocation and financial transparency across business units while contributing to more than $2M in verified cloud cost savings.
Strategic Sales & Operations Planning Manager
Danone
Jan 2019 - Dec 2021 (2 years 11 months)
Led implementation of an Integrated Business Planning (IBP) platform, aligning Finance, Supply Chain, and Operations to improve forecasting accuracy by 10% and reduce stockouts by 25%. Automated reporting processes that reduced manual effort by 45% while improving visibility into operational performance.
Senior Inventory & Optimization Analyst
Jan 2018 - Dec 2019 (1 year 11 months)
Reduced excess inventory by 20% and obsolete inventory by 35% through predictive analytics and inventory optimization initiatives, generating multimillion-dollar cost savings. Developed executive dashboards in Tableau and Power BI that improved visibility into inventory performance, operational KPIs, and optimization opportunities.
Improved demand forecast accuracy by 25% through advanced statistical forecasting and machine learning techniques. Automated executive reporting, reducing manual reporting effort by 45% while improving visibility into forecast accuracy and planning performance.
Improved forecast accuracy by 5% for Tropicana and 10% for Naked Juice through predictive modeling and statistical forecasting. Developed Tableau dashboards that reduced manual reporting by 30% while improving operational visibility.
Developed statistical forecasting models that improved demand planning accuracy by 10% while reducing forecast bias by 12%. Automated reporting processes, reducing manual effort by 40% and improving planner productivity.
Education
Degrees, certifications, and relevant coursework
The University of Texas at Austin
Post Graduate Program, Artificial Intelligence & Machine Learning
Post Graduate Program in Artificial Intelligence & Machine Learning with a focus on business applications.
UC Berkeley Executive Education
Executive Education, Data Strategy
Executive education program on data strategy, leveraging data as a competitive advantage.
Loyola University Chicago
Master of Science, Applied Statistics
Master of Science in Applied Statistics.
Bialystok Academy of Economics
Master of Arts, Economics & International Business
Master of Arts in Economics and International Business.
Bialystok Technical University
Bachelor of Science, Business Administration
Bachelor of Science in Business Administration with a focus on Management and Marketing.
Tech stack
Software and tools used professionally
Availability
Location
ZimbabweAuthorized to work in
Job categories
Skills
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