Customer Relationship Management Experts in Austria

• Consulting and interim management at the interface between IT operations and regulation
• Impact analysis and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
• Training for governing bodies and employees on regulatory obligations
• Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
• Supervision of master’s theses and participation in the examination board
• Presentations for business and educational institutions
• Design and development of data and AI products, platforms and pipelines
• Privacy-first architectures and zero-knowledge encryption, cloud-native on EU infrastructure
• MLOps and AIOps in live operations
• Own applications under own brand: shared codebase, separate delivery for each target device
• AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
• Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
• Publications on data sovereignty, cloud economics and industrial image processing
• AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics

• From 02/2023 to 05/2024: IT interim manager within an international construction chemicals group headquartered in Germany as Global TSA Manager in a carve-out project responsible for the IT workstream.

• End-to-end management of an international IT carve-out and TSA program, including transition of five service providers, governance and operating structures, service continuity, provider performance, SLA/KPI and cost management, SIAM and supplier management, security services, operational readiness, and transition into stable operations.

• From 06/2024: IT consulting in project management and IT service management areas, providing PM/PMO coaching and support.

• Organizational Change Management as part of a group-wide, supranational sales transformation, serving as the core of a broad restructuring of business-critical areas, with end-to-end control of the change process and long-term embedding and securing the future readiness of sales.
• Initiation and end-to-end steering of the sales transformation program, including in-depth analysis to identify, assess, and strategically involve all relevant stakeholders, making tactical use of their specific business interests and influence.
• Conducting advanced, detailed change impact analyses to predict the organizational effects of the transformation, deriving a tailored change strategy, and developing a change roadmap and a change story as the core narrative of the campaign.
• Designing and implementing an integrated communication and action plan to ensure maximum transparency, effectively manage unspoken expectations, and actively guide a change process that is clear and understandable for all stakeholders.
• Active management of all transformation phases, including the setup of robust monitoring mechanisms for continuous progress analysis and forecasting based on recommended and jointly defined KPIs.
• Establishing an agile analysis and adjustment cycle to continuously assess the effectiveness of implemented measures, identify challenges early, and fine-tune the change strategy in time.
• Conducting precise gap analyses to identify skill gaps in the sales team in the context of the new strategic direction, and deriving and developing targeted qualification measures (e.g. coaching, training).
• Comprehensive reduction of resistance to change by turning opposing stakeholder mindsets into proactive change-driving change ambassadors.
• Deep and sustainable realignment of sales structures and processes in full alignment with the company’s overall goals.
• Qualitative and quantitative improvement of sales efficiency and performance as a direct result of the implemented transformation initiatives and capability-building programs.

Complete build of a B2B SaaS platform for recruitment agencies

• Multi-source job aggregation via ATS APIs
• AI-assisted career page scraping
• Rule-based and AI-assisted matching
• Credit-based monetization model with Stripe integration
• Live in production since July 2026

Tech stack

• NestJS
• React
• PostgreSQL
• pgvector
• Claude AI
• Prisma

• AI automation roadmap for a D2C/B2B e-commerce company.
• Customer service bot with RAG over support tickets and product data, OCR pipeline for incoming invoices with writeback to Business Central, lead gen and posting automation.
• Deterministic n8n workflows with EU-hosted models.
• n8n, RAG / Mistral, Qwen/BGE embeddings / Business Central API, HubSpot, Shopify / Scaleway, S3 / Claude Code, OpenCode.

Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI

Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine

• Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
• Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
• Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
• Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
• Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
• Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
• Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).

• Leading high-impact retail digital transformation focused on data integration, app integration, and next-generation customer engagement strategies.

• Design and deploy production multilingual AI voice-agent solutions for customer service, lead capture, after-hours support and front-office automation use cases.
• Delivered three client implementations spanning Europe, Asia and North America, including multilingual support, sales/lead-capture and privacy-sensitive intake workflows.
• Translate business requirements into conversation flows, prompt architecture, knowledge grounding, fallback and handoff logic, guardrails, consent gates and structured data capture; production support deployments include knowledge bases of approximately 1,000 grounded Q&A entries per language.
• Build scenario-based evaluation and regression QA covering normal flows, edge cases, failure modes, handoff behaviour and acceptance criteria; coordinate fixes through production readiness and rollout.
• Work hands-on across Retell, ElevenLabs Agents, Twilio, Supabase/PostgreSQL, Vercel, APIs/webhooks and CRM workflows; lead discovery, demos, solution shaping and cross-functional delivery.

Sector: AI voice automation / customer workflow design

• General project management
• Design of a CRM system using a Design Sprint
• Creation of a prototype
• Conducting user tests
• Preparation of a tender
• Creation of an implementation roadmap

• BSS system implementation for B2B / transformation of the central B2B system landscape
• End-to-end business responsibility for defining, structuring and prioritizing key B2B business processes as part of a complex BSS transformation.
• Work in an agile, SAFe-like setup with multiple teams involved, along with regular coordination with business, IT, solution design and architecture.
• Translation of business requirements into implementable epics, features, user stories, process models and acceptance criteria as the basis for technical implementation.
• Close collaboration with solution design and architecture to assess technical dependencies, interfaces, data flows and system impacts.
• Management of target process design as the basis for implementation in Infonova BSS.
• Interface management between business departments, IT, architecture, development and operational units, including facilitation of cross-functional workshops.
• Ensuring process consistency, governance, decision-making capability and business acceptance as part of the system implementation.

Delivered a digital, non-profit neighborhood platform to connect older adults with volunteers for practical support and social companionship. Responsible for business analysis, requirement definition, platform evaluation and delivery of a locally scalable service solution focusing on AI-driven enhancements, data-based optimization and clear market positioning. Evaluated several low-code/business platforms including Odoo and Glide Apps and assessed monday.com as a CRM-like option before selecting Glide Apps for implementation. Implemented a non-native mobile and desktop application with Glide Apps and the web presence with WordPress. Tasks

• Gathering, analyzing and structuring business requirements for the product and service model
• Conducting market, target group and competitor analyses to position the offering
• Evaluating and selecting suitable low-code/business platforms for implementation
• Defining core user journeys, business processes and operational workflows for older adults, volunteers and administration
• Translating business requirements into functional requirements for profiles, task management, coordination, communication and notifications
• Guiding the implementation of the non-native mobile and desktop application in Glide Apps as well as the web presence in WordPress
• Preparing the business side for future AI-powered features such as intelligent matching and data-based optimization
• Ensuring compliance with GDPR requirements Results
• Successfully delivered digital support platform connecting older adults with volunteers
• Solid foundation for market positioning through market, target group and competitor analyses
• Delivered a functional non-native mobile and desktop application with Glide Apps and a supporting web presence with WordPress
• Established foundation for scaling and AI-based further development

• Shaping service management framework as part of head office of RBI
• Service owner overseeing IT cloud services, accountable for overall quality, lifecycle, and success
• Managing customer relationships and satisfaction for 10 business units ensuring smooth business continuity and operations
• Single point of contact and service/process owner providing T-shaped expertise in IT domains, cloud platforms and services (AWS, Azure, Kubernetes, Salesforce, ServiceNow, Jira, Orca, CRM, GitHub, SFMC)
• ITSM/ITIL implementation and mentoring including design, definition, mapping, and execution
• Change and release management, UAT/test assurance, major incident management, SDLC management
• Managing regulatory and audit requirements, DORA, GDPR, ITPF compliance and reporting
• Acting as a point of escalation for complex customer issues, resolving conflicts, fostering a customer-centric culture
• People management: leading and managing service delivery teams, DevOps, vendors, and third-party teams
• Cross-tribe service delivery and contract management: KPIs, SLAs, OLAs, RPO, RTO, BCM/SCM management
• Agile/Scrum process delivery governance, stakeholder communication, and budget/cost management

• Lead software architect in a greenfield MES project (Manufacturing Execution System / factory control system), responsible for architecture decisions, technology selection, and technical direction throughout the entire development lifecycle
• Designed and built the core framework from scratch, including several reusable Spring Boot starters (e.g., OPC-UA integration, messaging, security) that enable flexible composition of the individual system modules
• Introduced Keycloak as the central authentication and authorization system with SSO across all MES components
• Created and owns the full CI/CD pipeline covering Java, NPM and Docker – automating build, test, containerisation and deployment across all project components
• Set up the architecture documentation space in Confluence as the single source of truth for all architecture decisions, component designs, and integration patterns
• Defined and enforced naming conventions and coding standards to ensure consistency in the growing codebase
• Conducted regular code reviews for quality assurance, knowledge sharing, and adherence to architecture guidelines
• Created and maintained technology roadmaps to guide future development priorities and infrastructure investments

• Project and test management for the accounting migration
• Coordination of resources
• Planning, creation and alignment of scenarios with functional experts and IT product owners
• Responsibility for accounting KPIs of the migration cockpit
• System environment: Jira, XRay, Confluence