SAFe Agilist (SA)

Extension of the company website

• Developed new software components as part of a Scrum team
• Took turns with other members of the development team to perform smoke tests after releases

Achievements:

• Enhanced the website with new features
• Conducted code reviews and pair programming
• Advised the customer and trained the editors
• Implemented continuous delivery

• Lead distributed engineering teams on industrial software products, owning delivery, people development and hiring
• Stay hands-on in Java/JavaEE: bug fixes and new feature development alongside management work
• Introduced AI-assisted development (GitHub Copilot, Claude agents) for coding and unit-test generation

I assess the skills of project managers, also taking into account the feedback of the leaders they name.

Design, development, and market launch of digital products and platforms – from strategic alignment and agile implementation to Go-to-Market and Go-Live, integrating AI into processes and products

continued product ownership of the global B2C platform

• Drive enterprise-wide transformation through leadership coaching and a clear vision that stimulates and guides organizational change
• Guide organisations in developing agile strategies, optimising workflows, and embedding best practices
• Foster stakeholders' buy-in through effective communication, ensuring collaborative engagement throughout the transformation and change management process
• Support post-acquisition integration, aligning processes and ways of working between the acquired company and Xebia
• Guide clients in adopting digital and AI innovations to streamline operations and enable smarter decision-making
• Empower teams with tools and techniques to foster continuous improvement, adaptability, and sustainable growth

AI Assistance and Target Vision for Partially Autonomous Energy Portfolio Management

Building an AI control layer directly on the up-to-date daily live portfolio of a large energy provider — not as an isolated pilot, but as an operational extension of the existing DB1 and portfolio management. The goal is the gradual development from assistance through monitoring/alerting to analysis agents with Human-in-the-Loop approvals, supplemented by a role-specific System of Engagement alongside the BI System of Record. At the same time, the business case, target vision and management pitch compared with static monthly reporting are being developed.

• AI control layer: Design and build on the existing live portfolio data product (several million contracts) — development stages assistance → monitoring/alerting → agents with Human-in-the-Loop approvals.
• LLM-supported data analysis: Semantic queries, SQL/tool integration and additional RAG components based on portfolio, plan-versus-actual and data quality data (Azure OpenAI, Snowflake), with drill-downs to individual contract level.
• Analysis agents: Multi-stage agents for variance and driver analyses of churn, price adjustments, volumes and procurement costs.
• Views concept: Role-specific interfaces for business units, management and C-level as a System of Engagement alongside the BI System of Record.
• Business case & pitch: Target vision and cost-benefit argumentation compared with static monthly reporting.
• LLM setup (privacy & security): Coordination with IT Security and Data Protection — EU region, data separation and approval processes.
• Agent architecture: Multi-stage agent pipelines (analysis → validation → summary) with documented data sources, tool calls, review steps and source references for each statement.
• Data foundation: Built on the up-to-date daily DB1 data product (Snowflake, dbt) — portfolio, plan-versus-actual and data quality metrics as the common basis for all AI analyses.
• Guardrails & evaluation: Evaluation and approval processes for LLM responses relating to management-relevant statements — test sets, metrics and human review.
• Prototyping & validation: Iterative validation of agent responses with the business unit — test question catalogue, feedback loops and response quality for each release.
• Roadmap & development stages: Detailed stages from assistance → monitoring/alerting → partially autonomous management, including transition criteria and governance for each stage.
• Integration: Integration into the existing BI and data landscape — BI remains the System of Record, while the AI layer provides interactive drill-down paths as the System of Engagement.
• Enablement: Enablement of business users — prompting guides, training and an operating model for ongoing use.
• Management: Coordination of business units, Data Engineering, IT Security and Data Protection.
• Change Management: Communication and expectation management with business units and management throughout the development stages.

Results:

• Built on an existing up-to-date daily data product with several million contracts
• Established an LLM setup coordinated with Data Protection and IT Security in the EU region, including data separation and approvals
• Defined three development stages through to partially autonomous management
• Designed role-specific views for business units, management and C-level
• Developed the business case and management pitch for the development stages
• Established an iterative response-quality validation process with the business unit
• Designed the operating model for assistance operations and initiated validation

Stack: Azure OpenAI, Azure AI Foundry, Snowflake, dbt, React, TypeScript, Entra ID, RAG, Agentic AI, analysis agents, Human-in-the-Loop, Prompt Engineering, LLM Evaluation, LLMOps, GDPR / EU region, Azure DevOps, Python, SQL, Change Management

• Managing Director of Vishnu Artists GmbH in Berlin (since 01/2025, together with Benedikt Irsch).
• Responsible for the company's finance, planning and reporting; working with DATEV.
• Reporting with Power BI as well as planning and analysis models in Excel as a basis for management decisions.
• Selection, development and implementation of AI-supported tools in the company, including Flow Compass.
• Co-host of the Vishnu AI Freelancer Meetup, which takes place every four weeks on Miro; exchange about the practical use of AI applications in coaching and facilitation.

• Functional requirements management for DIVID, the Umweltbundesamt platform for administering the single-use plastics fund. Focus: entitled parties, sub-entitled parties, and benefit reports.
• Consolidation and analysis of specifications, Jira, Confluence, functional concepts, and UX designs. Independent structuring and delimitation of requirements, as well as identification of contradictions, gaps, and dependencies.
• Creation and quality assurance of implementable user stories with clear, testable acceptance criteria. Preparation of decision alternatives and coordination with business, development, UX, and QA through team refinement.
• Conducting manual and technically assisted accessibility tests. Coordinating findings with QA and the Product Owner for further planning and implementation.
• Result: more consistent requirements, clearly defined processes and stories, and transparent open decisions. Separation of assumptions from confirmed requirements; better basis for implementation, refinements, and QA test cases.

Tools used: Jira, Confluence

• E-Tech, manufacturer of customised solutions in the automation control sector, +60 employees
• Reporting line: Directly to the Managing Director/owner
• Development of vision, values and mission statement
• Establishment of communication structures
• Establishment of HRM – search, selection and hiring of the HR Manager
• Development of the sales strategy
• Development of the product strategy
• Analysis and improvement of production processes
• Holistic organisational development — HRBP ad interim
• Teambuilding for the management team
• Vision, values and mission statement development - cultural change
• Identification of requirements, creation of job requirements, employer branding
• Selection, conducting interviews and hiring of the new HR Manager

• Lecturer/trainer on the topics “Project Management Basics”, “Quality Management in Projects”, “Business Administration for Project Managers” and “Project Management (according to PMI)” with Dr. Roland Dumont du Voitel, amontis consulting

• Transformation Consultant, Release Train Engineer and Program Lead – responsible for the new Way of Working in the Open Gateway Program; optimizing the flow of value by ensuring the ART events and artifacts function correctly, including the Open Gateway Release Train Kanban, Inspect & Adapt (I&A) workshop, ART Sync Meetings, and PI Planning to ensure stakeholder alignment;
• Coaching and guiding the Product Owners, Business Owners, Product Management, Program Managers, Leaders, Tribe Architect
• Coaching the OGW Core Team (cross functional) within the OGW Program and developing optimization measures in their transformation process;
• Facilitating and working actively towards the creation of the Definition of Ready (DoR) and the product Definition of Done (DoD);
• Introducing knowledge sharing workshops and grow the agile engineering practices;
• Hold Team lift-off workshops;
• Help the group to become a team by providing system team coaching and multifunctional learning;
• Facilitate, decision making, feedback loops for learning new skills and practices

Tools: JIRA, Confluence, MS Teams, Miro

• Interim & Business Management: Strategic consulting and operational leadership of business units and large projects with a focus on profitability (P&L), growth, and portfolio development.
• Business Case & Strategy: Development of complex business models (e.g. 5G campus networks, platform business) and execution of strategic market studies for international clients.
• People & Leadership: Many years of experience in disciplinary leadership and development of large teams (>100 employees), building competence centers, and coaching managers in agile environments.
• Partner & Vendor Ecosystems: Management and negotiation of high-value framework agreements (T&M, fixed price) as well as steering multinational supplier and partner relationships.
• End-to-End Project Governance: Responsibility for the full lifecycle management of large technical projects (mobile core network, integration, rollout) while meeting the highest quality and security standards.

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