Data Consultant

Founded a data consulting practice specializing in data governance and AI initiatives, serving clients and partners on data strategy and AI adoption topics.

• Designed and delivered an AI/data catalog covering 8 services (RACI matrix, TOM roadmap) structuring data governance and AI adoption for clients.
• Defined data flows and integration architecture between AI modules and third-party tools (LLM/RAG, analytics, GDPR governance).
• Produced data transfer schemas and validated data quality against acceptance criteria.
• Built analytics and reporting components in the platform and organized test cycles.
• Technical environment: Python, FastAPI, React, MongoDB, Ollama, REST APIs.

Led data strategy for an AI recommendation platform targeting SMEs, responsible for data architecture and regulatory compliance.

• Defined data strategy for an AI recommendation engine, modeling data flows and business rules supporting recommendations.
• Designed integration architecture between the recommendation engine and SME business systems (REST API, webhooks, XML/XSD).
• Defined data quality rules, error management protocols and go/no-go criteria.
• Integrated GDPR governance and EU AI Act throughout the data lifecycle.
• Technical environment: REST APIs, Webhooks, XML/XSD, JSON.

Led organization's DataHub initiative as data governance consultant, intervening on data architecture definition and governance structuring.

• Conducted As-Is/To-Be analysis and requirements collection for the organization's DataHub.
• Defined data governance principles and information architecture guiding the program.
• Structured metadata and functional documentation to inform IT decisions.
• Clarified data ownership and governance responsibilities across the DataHub program.
• Ensured multi-stakeholder alignment as single point of contact between IT, security and senior management.
• Facilitated workshops for prioritizing data governance objectives.
• Technical environment: Azure Cloud, REST APIs, Data governance frameworks.

Structured GDPR and DPA compliance requirements for the organization, responsible for data governance definition and stakeholder alignment.

• Structured GDPR and DPA 16/2025 requirements into a prioritized backlog covering 7 architectural layers with clear data ownership matrices.
• Led cross-functional workshops involving IT, Legal, Security and Operations.
• Produced RAID dashboards and decision papers for governance committees.
• Technical environment: Azure DevOps, Confluence, REST APIs.

Ensured data governance and architecture for ING's Corporate Cash Management platform, integrated with 10+ systems, responsible for data quality and traceability across 6+ SAFe squads.

• Led data governance and architecture for Corporate Cash Management platform integrated with 10+ systems, ensuring data quality and traceability.
• Used SQL and Power BI for data flow validation, profiling and KPI/management dashboard reporting.
• Translated regulatory requirements (GDPR, DORA, SOX) into data governance controls and release go/no-go criteria.
• Acted as central connector between business, IT, Legal and Compliance teams on data priorities.
• Coordinated UAT and functional testing, validating data quality and feature delivery against acceptance criteria.
• Led adoption of new data practices and reporting tools across squads through structured communication and training.
• Conducted integration of AI-assisted data tools and automated workflows in governance and compliance programs.
• Daily management of Jira (backlog), Confluence (data documentation), Azure DevOps (release governance) and SQL (querying and data profiling).
• Technical environment: Azure DevOps, Jira, Confluence, SVN, Data Lake architecture, SQL, Power BI.

Led data governance for ING's Data Lake and ETL ecosystem covering 50+ applications, responsible for end-to-end lineage and BCBS 239 traceability.

• Ensured data governance for Data Lake and ETL ecosystem covering 50+ applications, ensuring end-to-end data lineage and traceability under BCBS 239.
• Designed data architecture and transfer schemas for mainframe-to-cloud migration, defining quality standards and validating GDPR/SOX compliance.
• Used advanced SQL (MS SQL, Sybase, Oracle) for data profiling, anomaly detection and data warehouse integrity validation across 50+ applications.
• Technical environment: Jira, Confluence, SVN, SQL (MS SQL, Sybase, Oracle), Enterprise Integration Patterns, Mainframe systems.

Defined database migration strategy for ING across borders, responsible for stakeholder alignment and data quality.

• Defined scope, functional specifications and KPIs for a cross-border database migration (Belgium-Poland).
• Ensured stakeholder alignment on data quality requirements.
• Technical environment: Jira, Confluence, Database platforms.

Structured data deliverables and documentation for ING's managed data services, responsible for standardizing operational procedures.

• Structured data-related deliverables and documentation using ITIL 3 and PRINCE2.
• Standardized operational procedures for managed data services.
• Technical environment: Jira, Confluence, Data warehouse systems.

Led end-to-end data warehouse solution deployment for ING, structuring reporting deliverables and improving data quality.

• Deployed end-to-end data warehouse solution, structuring reporting deliverables for business stakeholders.
• Improved data accuracy by 20% and reduced irregularities by 30%.
• Technical environment: Data warehouse platforms, BI tools, SQL, Analytics databases.

Led ING's Change Advisory Board and integrated incident, problem and change management under ITIL v3, responsible for reducing unauthorized changes.

• Chaired the Change Advisory Board (500+ RFCs).
• Integrated incident, problem and change management processes in ITIL v3, reducing unauthorized changes by 60%.
• Technical environment: Incident management systems, ITSM tooling.

Administered MS SQL, Sybase and Informix databases for ING, responsible for backup/recovery strategy design and regulatory compliance.

• Administered MS SQL, Sybase and Informix databases, ensuring availability and performance.
• Designed backup/recovery strategies and data security frameworks aligned with GDPR/SOX.
• Strengthened data audit readiness.
• Technical environment: MS SQL, Sybase, Informix.

Analyzed and documented data flows and system integration points in a complex legacy environment in the insurance sector, responsible for maintaining COBOL programs.

• Analyzed and documented data flows and system integration points in a complex legacy environment.
• Maintained COBOL programs under rigorous testing protocols.
• Technical environment: Legacy systems, COBOL, Insurance domain systems.