Zeev Turchinsky | Architecture & Innovation Leadership Portfolio

Architecture & Innovation Leadership Portfolio

Zeev Turchinsky | Senior Enterprise Architect | Vienna, Austria
Enterprise Architecture | ERP Transformation | Integration & Data Platforms | IT Landscape Rationalization | AI Readiness & Roadmap

Purpose: Selected case studies showing business outcomes, decision logic and architecture leadership approach. No internal artefacts or internal designs are included.

30+ yrs
architecture & technology leadership
20+ plants
landscape mapped
22 ERPs
consolidation context
300+ apps
transparency created
€1M+
annual savings potential
100+
interfaces mapped
80+
data entities
30%
knowledge retrieval uplift

Selected Case Studies

Case 1. Enterprise Architecture foundation for a fragmented manufacturing group - enabling €1M+ annual savings potential

ContextCoveris Group - international manufacturing group with 20+ plants, 22 ERP systems and 300+ applications.
RoleEnterprise Architect | Mar 2025 - Current
SummaryEstablished Enterprise Architecture as a practical governance and decision-support capability for ERP consolidation, integration strategy, MDM and rationalization.
Key results20+ plants / 22 ERP systems / 300+ applications made transparent; 3 core governance processes created; ~€1M annual savings potential identified.
ChallengeMy actionsImpact
  • Fragmented post-acquisition IT landscape with limited shared visibility.
  • ERP consolidation and application rationalization required fact-based decisions.
  • Built architecture baseline across applications, ERPs, capabilities, integrations and priorities.
  • Implemented ABACUS repository and linked Enterprise Architecture with Solution Architecture deliverables.
  • Defined D365 FSCM target options, integration strategy, MDM roadmap and process/system mapping.
  • Improved decision traceability and architectural consistency.
  • Enabled rationalization decisions and established foundation for ERP transformation, integration modernization and MDM.

Case 2. Data, integration and AI roadmap in a SAP-centric manufacturing environment

ContextGebauer & Griller - international manufacturing company with SAP-centric landscape, manufacturing, logistics and inventory processes.
RoleEnterprise Solutions Architect | Sep 2022 - Mar 2025
SummaryConnected business priorities with architecture governance, data platform direction, MDM strategy and realistic AI use cases.
Key results100+ interfaces mapped; SAP BTP and Azure roadmap delivered; 80+ data entities in data ownership roadmap; 30% knowledge retrieval/classification uplift.
ChallengeMy actionsImpact
  • Business needed better integration transparency, data availability and architecture governance.
  • AI opportunities needed business-value and readiness-based prioritization.
  • Developed Enterprise Architecture strategy and governance framework.
  • Designed Azure Data Analytics Platform using ADF, Databricks and Data Lake concepts.
  • Defined AI assessment, use-case evaluation, roadmap and MDM/data ownership direction.
  • Improved alignment between business priorities, data initiatives and architecture decisions.
  • Created pragmatic AI roadmap and strengthened traceability between strategy, solution design and delivery.

Case 3. Metadata-driven Azure data platform architecture for governed analytics delivery

ContextPrinzhorn Group - international industrial group with SAP-centric landscape and supply-chain / analytics use cases.
RoleSolutions Architect | Jun 2021 - Sep 2022
SummaryDesigned reusable data ingestion and Data Lake architecture to improve scalability, governance and analytics delivery.
Key resultsAzure Data Factory, Databricks and Data Lake concepts; reusable metadata-driven ingestion patterns; governed analytics foundation.
ChallengeMy actionsImpact
  • Analytics delivery needed better data availability, reusable patterns and stronger governance.
  • One-off ingestion approaches created scalability and onboarding constraints.
  • Designed metadata-driven ingestion architecture and Data Lake structure.
  • Defined data zones, ingestion patterns, transformation logic and data ownership concepts.
  • Aligned business stakeholders, delivery teams and technology partners.
  • Created scalable foundation for analytics expansion and faster data source onboarding.
  • Strengthened data governance and cloud architecture decision-making for reporting and supply-chain analytics.

Case 4. Architecture governance and design assurance in regulated banking

ContextAgile IT / Bank Leumi and other regulated clients - banking, insurance, healthcare and government environments.
RoleHead of Architecture / Enterprise Architecture Consultant | 2003 - 2017
SummaryLed architecture governance, standards, SOA/BPM roadmaps, integration strategy and solution design alignment in regulated environments.
Key results6 years Head of Architecture in regulated banking; ESB-based orchestration approach helped avoid unnecessary software purchase while supporting regulatory delivery.
ChallengeMy actionsImpact
  • Regulated organizations needed modernization while meeting compliance, security and risk expectations.
  • Regulatory deadlines created pressure for expensive or short-term technology choices.
  • Led architecture practices, standards and design assurance across banking environments.
  • Created SOA/BPM roadmaps and led technical RFP work for ESB, BPM and digital platforms.
  • Challenged a planned software purchase and proposed ESB-based orchestration.
  • Supported regulatory delivery while reducing unnecessary cost and complexity.
  • Built a strong foundation in executive advisory, governance, integration and regulated-environment architecture.

Architecture Leadership Pattern

PatternHow I use it
Start with the business problemClarify objective, stakeholders, decision context, constraints and success metrics before selecting technology.
Create landscape transparencyMap capabilities, processes, applications, ERP systems, integrations, data ownership and pain points.
Define target directionBuild target-state options, transition scenarios and trade-offs between speed, cost, risk and standardization.
Govern for decisionsUse principles, standards, review criteria, decision records and ownership models as enabling mechanisms.
Link to measurable valueConnect architecture work to cost avoidance, rationalization, risk reduction, scalability, data quality and delivery confidence.
Contact: Zeev Turchinsky | Vienna, Austria | zeevtur@gmail.com