Role Description Du automatisierst und optimierst unsere E-Commerce-Prozesse mit KI und trägst aktiv dazu bei, manuelle Abläufe in skalierbare, automatisierte Systeme zu überführen. Dabei arbeitest du an Lösungen, die direkt im Unternehmen eingesetzt werden und einen spürbaren Impact auf unsere täglichen Prozesse haben. - Von manuell zu automatisiert - Von Einzellösungen zu skalierbaren Workflows Qualifications - Interesse an KI, Automation und digitalen Prozessen - Denkst in Systemen und Lösungen - Selbstständig, hands-on, umsetzungsstark - Google Workspace (v.a. Sheets/Excel) - Nice to have: Make / Shopify / APIs / Datenverständnis Requirements - Automatisierung von Bestell-, Abwicklungs- und Datenprozessen - Aufbau von Workflows mit AI-Tools, Make, APIs - Optimierung der Systeme rund um Shopify & Channable - Entwicklung von Lösungen, die Zeit sparen und Fehler reduzieren - Analyse und Automatisierung operativer Prozesse (z. B. Support, Administration oder Logistik) - Anbindung von Retail-Partnern wie MediaMarkt und BRACK - Automatisierung von Produkt-, Preis- und Bestelldaten - Aufbau neuer Integrationen und Ablösung manueller Prozesse - Einsatz von KI zur Prozessautomatisierung - Testing neuer Tools und Ansätze - Umsetzung eigener Projekte mit direktem Impact - Automatisierung von Online-Marketing-Prozessen (Phase 2 - Optional) - Nutzung von Daten für Kampagnen, Listings und Content - Einsatz von AI zur Performance-Optimierung - Zusammenarbeit mit Marken wie Ledger (Bonus: Krypto & Business Exposure) - Einblick in Krypto-Verwahrung (Self-Custody) - Teilnahme an Partner- und Lieferantenterminen Benefits - Eigene Projekte statt Zuarbeit - Direkter Impact auf reale Geschäftsprozesse - Hohe Lernkurve in AI & E-Commerce - Remote-first & flexible Arbeitsweise - Möglichkeit für punktuelle Treffen und Workshops vor Ort im CH Mittelland - Einblick in das operative Tagesgeschäft (z. B. Support, Administration, Logistik etc.) - Viel Eigenverantwortung und die Möglichkeit, die Rolle aktiv mitzugestalten - Startpensum: ca. 40% - Startdauer: zunächst ca. 3 Monate - Pensum, Verantwortung und Dauer können je nach Fortschritt, Bedarf und Eigeninitiative ausgebaut werden - Bewerbungen werden ausschliesslich über unser digitales Bewerbungsformular akzeptiert.

• Strategic sparring partner for hospital clients • Conduct process and use-case audits • Facilitate C-level workshops • Responsible for expansion ARR within the customer portfolio • Close collaboration with the implementation team

• Own and evolve the enterprise activation AI strategy, with accountability for AI eco-system governance, platform, tool, and model activation, and end-to-end value optimization • Assess, shape the existing AI vendor and platform landscape to identify value optimization opportunities aligned to business priorities, enterprise constraints, and security requirements • Define pragmatic governance, operating models, and guardrails that enable responsible AI adoption without creating unnecessary friction • Establish frameworks to measure usage, risk, and optimization opportunities across our enterprise landscape and our workforce • Monitor emerging AI technologies, market developments, and vendor roadmaps to inform strategic decisions and maintain competitive advantage • Partner with business leaders to enable decisioning and to connect this to enterprise IT execution • Act as a trusted advisor rather than a reactive order taker – “you ask yourself; how could we make this easier and better for our colleagues going forward” • Work within, and orchestrate across, IT and cybersecurity teams to reduce unnecessary friction while working within a risk tolerant framework appropriate to address the business needs • Design and promote pragmatic AI governance models that drive low process friction and high AI adoption • Balance speed, innovation, and security in decision-making • Drive cultural change within IT toward a consultative, business-enabling mindset • Challenge legacy control-driven behaviors that limit innovation • Influence stakeholders across multiple levels without relying solely on authority • Educate business and IT teams on AI opportunities, risks, and mitigation strategies

• Build and scale enterprise AI and machine learning capabilities across supply chain functions including logistics, distribution, planning, sourcing, and labor. • Translate business problems into well-defined AI use cases, with clear success metrics and operational outcomes. • Define and operationalize standard frameworks for AI use-case intake, prioritization, development, deployment, and lifecycle management. • Lead the end-to-end delivery of ML-driven solutions, from problem framing and model development through production deployment and adoption tracking. • Own and continuously evolve the Supply Chain Data Science & AI roadmap, aligned with business priorities, AOP commitments, and long-term capability goals. • Partner with data engineering, BI, and IT teams to embed AI solutions into dashboards, workflows, and operating processes, not standalone models. • Lead AI solution design using Microsoft technologies, including Azure AI, Azure Foundry, Copilot, and Power Platform. • Drive adoption of GenAI, copilots, and AI agents in a secure, scalable, and governed manner. • Evaluate, pilot, and integrate external AI tools and vendors, ensuring fit with enterprise data architecture, security standards, and long-term scalability. • Establish best practices for model development, deployment, monitoring, explainability, and reuse, enabling repeatable delivery. • Mentor and develop analysts and data scientists, raising overall AI maturity and execution rigor across the organization. • Communicate progress, risks, and outcomes to senior stakeholders using clear, business-focused language.