Governed data, AI and automation for regulated financial services
I bring more than 12 years of experience in European financial services, spanning data governance, operational control and business transformation.
I design and prototype practical, auditable solutions that translate governance requirements into accountable operating models, validation controls, traceable workflows and human-supervised AI. My work connects business ownership with documented technical evidence using Python, SQL, APIs, Streamlit and LLM-based applications.
A DAMA-aligned data-governance operating model for a fictional regulated Swiss insurer, demonstrating how governance policy can be translated into an operational framework.
What it demonstrates:
- governed data domains with defined ownership and accountability
- a business glossary and measurable data-quality thresholds
- governance-issue and access-exception management
- AI use-case classification, risk assessment and human oversight
- automated structural, schema and referential controls
- operational governance workflows through a Streamlit portal
- continuous validation through GitHub Actions
View the live governance portal · Explore the repository
- SAP Business AI Workflow — Controlled invoice extraction, supplier and purchase-order validation, approval controls and an auditable decision trail.
- ESG Reporting AI Assistant — Grounded AI support for ESG reporting, regulatory analysis, source citation and evidence-based disclosure drafting.
- Python Control Lab — Applied data validation, exception handling and controlled business-process automation.
Data governance: Operating models · Accountability · Business glossaries · Data quality · Governance controls
Governed AI: Risk classification · Human oversight · Traceability · Source citation · Audit trails
Technical prototyping: Python · SQL · Streamlit · APIs · pytest · GitHub Actions · LLMs · RAG
Domain experience: European financial services · ESG data · SAP-enabled business processes
I am focused on data-governance, AI-governance and controlled-automation roles across Europe where business accountability, regulatory expectations and technical implementation must work together.