09/09/2026 updated


Premium member
100 % availableAI Project Manager | Data Migration & Quality | IT Business Solutions | AI Solution
Cork, Ireland
Only remote
Master degree in EconomicsAbout me
With over 18 years of experience leading Intelligent Process Automation (IPA) and data projects, I specialize in ERP systems and AI-driven solutions that enhance data quality and decision-making. Core Skills and Experience: • AI & Machine Learning: Skilled in implementing AI-driven models.
Artificial IntelligenceData AnalysisAsset ManagementAutomationBusiness EfficiencyComputer ProgrammingConsultingData GovernanceData ManagementData MigrationData QualityData SystemEnterprise Resource PlanningFinancesGovernance
With over 18 years of experience leading Intelligent Process Automation (IPA) and data projects, I specialize in ERP systems and AI-driven solutions that enhance data quality and decision-making.
Core Skills and Experience:
• AI & Machine Learning: Skilled in implementing AI-driven models and leveraging machine learning to optimize data accuracy and predictive insights.
• Python & NLP Expertise: Experienced with Python for automation and data analysis, including NLP models for comparing financial and legal data.
• ERP & SAP S/4 HANA: Deep expertise in ERP systems and SAP S/4 HANA, with a focus on data governance, quality, and seamless data migrations.
• Data Governance & Automation: experience in SAP master data management, data quality improvements, and automation through advanced tools.
• Project Leadership: Strong history of coordinating data projects, collaborating with stakeholders, and managing cross-functional teams.
Notable Experience:
At Swiss Re, I managed data quality in asset management using Python for automated checks and reporting, where I applied advanced governance practices and AI-driven automation to strengthen data handling and operational efficiency. Previous roles with Google, Apple, and Eli Lilly expanded my expertise in SAP data governance and process automation to improve data reliability and efficiency.
Achievements:
• Developed effective AI-based data solutions that future-proof data operations.
• Strengthened data governance and compliance through machine learning.
• Built and coached successful ice hockey programs as a certified international skills coach.
Technical Skills:
• Programming: Python
• Tools & Methodologies: ERP, SAP S/4 HANA, Data Migration, Data Governance, Automation, Machine Learning, AI
• Data Management: Master Data, Metadata, Reference Data
Experience
Professional experience10+ years
Freelancer since2019
Languages
GermanGoodEnglishFluentCzechNative speaker
Project history
• Led Finance Data Governance in Group Finance, establishing robust frameworks that elevated data quality standards and governance policies across Legal Entity operations.
• Developed and deployed Python-based automation for data quality assurance in Asset Management, implemented AI algorithms to perform advanced checks and anomaly detection, reducing data discrepancies by 80%.
• Implemented AI-enhanced data management practices, establishing dynamic naming conventions, ownership protocols, and change management processes that improved data integrity and traceability.
• Drove data analytics initiatives, enabling strategic decision-making with insights that influenced finance and regulatory compliance processes.
• Collaborated with cross-functional teams to refine finance application architecture, spearheading data modeling and reconciliation efforts to ensure 99% alignment in regulatory and internal reporting.
• Developed and deployed Python-based automation for data quality assurance in Asset Management, implemented AI algorithms to perform advanced checks and anomaly detection, reducing data discrepancies by 80%.
• Implemented AI-enhanced data management practices, establishing dynamic naming conventions, ownership protocols, and change management processes that improved data integrity and traceability.
• Drove data analytics initiatives, enabling strategic decision-making with insights that influenced finance and regulatory compliance processes.
• Collaborated with cross-functional teams to refine finance application architecture, spearheading data modeling and reconciliation efforts to ensure 99% alignment in regulatory and internal reporting.