Microsoft Project Expert in Berlin

In-house consulting provider and driver of transformation within the group, multi-stakeholder environment and C-level.

Realignment and stabilization of a cross-functional transformation and scaling program within the group. Sharpening the target picture, priorities, and set of measures, as well as building reliable governance, planning, and steering structures. Structuring roles, responsibilities, and strategic initiatives while including AI and IT automation ideas.

• Designed program realignment and project portfolio management

• Developed strategy model and target picture for IT projects

• Structured portfolio, roadmap, and priorities

• Established governance and regular meetings

• Worked out operating model for flagship projects

• Assessed AI and automation ideas

• Clarified roles and responsibilities

• Implemented change measures

• Developed, moderated, and evaluated workshops

• Transformed 17 initiatives into a steering model

• Increased transparency and decision-making ability

• Strengthened commitment in steering

• Sharpened the operating model structurally

• Integrated three top-5 institutes

• Involved over 80% of stakeholders

• Governance

• Portfolio steering (PPM)

• Change management

• Artificial intelligence

• Workflow automation

• AI use case assessment

• Confluence

• Jira

• Stakeholder management

• LLM-based features for automated CO₂e data extraction from unstructured documents (70% reduction)

• Agentic AI pipeline for automated Scope 3 emissions calculations with 150.000+ validated data records

• Intelligent API workflows for real-time carbon footprint calculations in ERP and ESG systems

• ML algorithms for predicting emissions hotspots and optimizing product design

• Automated data validation pipelines with NLP for quality assurance of CO₂e datasets

• Led a 15-person cross-functional team in developing 10+ AI features

• Strategic product planning and AI roadmap with 35% shorter time-to-market

• Stakeholder management with DAX companies (40% higher satisfaction, 95% retention)

• On-time project delivery with 95% budget adherence through data-driven backlog management

• Agile methods (Scrum, Kanban) with continuous AI/ML integration (25% increase in team velocity)

• Product-market fit for AI features through A/B testing and analytics (60% higher adoption rate)

Workflow-automation SaaS for operations teams (Berlin, 120 people); full-time freelance engagement reporting to the CEO: an initial 12-month interim mandate, extended twice through the AI build-out; owned product for one squad and coached the other product managers on process.

• Led generative AI (LLM) integration into the core product: from LLM-powered steps to natural-language workflow authoring and step-level automation suggestions, plus AI-managed dynamic workflows, shipped behind eval gates with human-in-the-loop fallbacks: AI-drafted workflows grew to 31% of all new workflows, and median time-to-first-workflow fell from 3 days to 4 hours.
• Packaged the AI capabilities as a usage-based add-on priced on executed automation steps, working with sales and marketing on positioning: ~€800K added ARR in the first year, and adopting accounts churned 1.8 pp less.
• Owned the roadmap end to end: replaced feature-request-driven quarterly planning with an outcome-based rolling roadmap built on quarterly bets and explicit kill criteria, presented monthly to the executive team and quarterly to the board.
• Rebuilt the product-management operating system: weekly customer-discovery cadence incl. workshop facilitation, RFC/decision-doc reviews and a single quarterly metrics narrative; coached four product managers, one promoted to senior during the engagement.
• Closed the engagement as scoped: hired and onboarded the permanent VP Product, handed over the process playbook and roadmap, and exited on schedule in June 2026.

Driving AI model quality at scale — evaluating prompt-response accuracy, flagging edge cases, and maintaining SLA-compliant workflows across distributed global teams.

• Analyse AI prompts and side-by-side model outputs to assess response quality, factual accuracy, relevance, consistency, and compliance with project evaluation guidelines.
• Perform fact-checking, data validation, troubleshooting, issue identification, and edge-case review to improve quality standards across AI training support workflows.
• Use Google Sheets, Google Docs, and browser-based tools to document findings, maintain evaluation logs, track issue patterns, and support workflow optimisation in a remote environment.
• Create clear written justifications, review summaries, and KPI-oriented reporting focused on accuracy, turnaround time, documentation completeness, defect identification rate, and SLA adherence.

• Creation of publications, reports, and posters (layout, infographics, image editing)
• Proofreading
• Writing and sending newsletters
• Creating forms
• Back office and support for user administration and administration for online portals
• Database and mailing list maintenance
• Dispatch campaigns for publications
• Organization of meetings, workshops, and events
• Contact person for external and press inquiries
• Assistance to management (appointment management, business trips, committee management)
• Office administration

IT infrastructure / SAP Grantor / SAP BTP transformation project at the Berlin Ministry of Finance to digitalize public funding programs. The goal was a clean-core-oriented SAP BTP solution architecture with CAP/RAP services, APIs, integrations, and operational readiness for run, AMO, and AMS structures.

• Industry: Federal authority, FM Berlin
• Budget 2026: 5 million EUR
• Planned budget for 2027: 8.7 million EUR
• Team size: 45 FTE

• Strategic and operational management: strategy, marketing, communications, sponsorship, lead management, growth campaigns as well as customer success, partly AI-supported

• Setup and process design in CRM and customer journey

• Design and implementation of proactive targeting strategies as well as innovative marketing initiatives based on market and KPI analyses

• Stakeholder management with internal/external interfaces and agencies

• Steering and monitoring of SEO/SEA campaigns as well as website relaunches, email automation, PR and content campaigns as well as various performance marketing and social media campaigns

• Creation of the product value proposition as well as further development of the UX/UI of website and print materials

• Selection, leadership and development of teams (up to 17 staff)

• Participation in conferences and trade fairs as speaker and moderator

• Tripled lead numbers through digitization of marketing and sales processes

• Significant increase in profitability through optimization of the customer journey and marketing automation

• New customer acquisition and business development through product extension and funnel optimization

• Responsibility for time, budget and quality targets of the sub-project
• Creation and maintenance of the sub-project plan including dependencies to FI, CO, PP, SD
• Definition of work packages, resource planning and progress monitoring
• Risk and change management within module scope
• Analysis of as-is processes in procurement, logistics and warehouse management
• Design of to-be processes according to SAP standard (EWM warehouse processes such as goods receipt, put-away, picking, goods issue)
• Coordination with key users and specialist departments
• Support for interface development with external warehouse systems and supplier portals
• Organization of test data, error tracking and test documentation
• Support for deployment preparation and key user training
• Participation in the cutover plan (data migration, go-live preparation)
• Support of the department during the hypercare phase after go-live
• Assistance in mapping EWM core processes
• Management of external service providers
• Use of Jira, Confluence, Signavio, MS Teams, Aqua ALM

• Project volume in €: ~15 million
• Number of employees: 8
• Managing strategic projects & leading procurement
• Outsourcing standard products abroad
• Process optimization in quality management
• Interim manager for purchasing & procurement
• Planning and implementation of optimization measures
• Material flow in production
• Warehouse management
• Process automation

• Consulting, coaching, workshops, and project management focused on transformation, potential development, and sustainable growth

• Accelerated merchant onboarding and KYC process, rolled out new merchant contracts, and managed an upstream merger at a payment service provider
• Developed and interim-managed procurement processes to defend and pass on supplier price increases at an automotive supplier
• Supported the in-house consulting team of a trade fair organizer on organization and process development topics (hiring, customer inquiries) across functions
• PMO for software testing for an eMobility service provider on behalf of an OEM
• Created a growth strategy and served as interim PMO for the first 100 days of post-merger integration at a landscaping and garden services group
• Conducted commercial due diligence for a mobile sanitation provider
• Designed and implemented quality assurance and customer support processes to prepare for the launch of a media corporate startup
• Interim PMO to build COVID-19 testing capabilities and capacity for a TIC group (including materials, staff, facilities, software, legal)
• Designed a new budgeting and approval process with clear steps, responsibilities, and thresholds for a health education scale-up
• PMO for DB1 and OPEX improvement at a fitness scale-up through product and pricing adjustments and a concept for building in-house consulting

• Business analysis of the instant win games segment (financial, IT landscape, organization, customers)
• Gap analysis and resulting requirements, project planning, milestone planning, stakeholder management, risk analysis, project documentation, playbooks
• Successful establishment of sales activities and processes for instant win games

• Proceeding what was started in 10/2023, offering data science development skills fulltime to international clients

• Helping companies learn more about their existing (unstructured) data, optimize processes and technical systems, and derive solutions for their problems

• Tools and technology used: Python (sklearn, pandas, numpy, Django, sqlAlchemy, pyTorch), Matlab, Docker, AWS EC2, Lambda, S3, SQL, MySQL, Hadoop & Spark, Machine Learning, DNN, AI, Jira, Confluence, Git, CI/CD, GitLab, Jenkins

• Developed a scalable emergency operating model to secure operations in 11 European markets during a potential franchise crisis due to looming insolvency
• Delivered an immediately deployable model that was later adopted as a global best-practice blueprint