Drive growth for Siemens' Intelligence Center X platform in Australia and New Zealand, managing end-to-end sales cycles and building relationships with C-level executives.
Responsibilities
Identify and qualify leads for Intelligence Center X
Develop high-value opportunities through strategic account and opportunity planning
Build relationships at the highest executive levels
Demonstrate product differentiation for Mendix, Graph Studio and AI Cloud
Leader technique Data & Integration, pilotage de la stratégie technique des flux de données et des intégrations au sein de l’écosystème digital Michelin
Compensation
à partir de 60K€ + (variables et avantages groupe Michelin)
Responsibilities
Définir la stratégie d’intégration des données pour les plateformes digitales CX
Concevoir des architectures event-driven, API-first et scalables
Développer des pipelines et intégrations
Intégrer les systèmes internes et services tiers
Garantir la qualité, performance et fiabilité des flux de données
Requirements
Diplôme Bac+3 à Bac+5 en informatique ou domaine équivalent
Lead the exploration, development, and implementation of technology-enabled learning solutions across Generation's global learning ecosystem, focusing on AI innovation and integration.
Responsibilities
Design, develop, and test prototypes, proofs of concept, and minimum viable products to validate emerging ideas and use cases.
Lead experimentation cycles, gathering evidence and insights to inform decisions on scaling, refinement, or discontinuation.
Partner with the Online Learning Leads to prepare successful prototypes and AI solutions for pilot implementation.
Analyze pilot outcomes and user feedback to identify opportunities for refinement, scaling, or further development.
Monitor developments in AI and learning technology to identify opportunities that strengthen learner outcomes, instructor effectiveness, and operational efficiency.
Lead and support VP Planning, drive KPI and performance management, optimize processes, develop AI-first operations, coordinate product integration, and manage cross-functional change initiatives.
Compensation
Das Bruttojahresgehalt für diese Position startet ab 75.000,00 €*
Responsibilities
Sparringspartner:in mit Überblick über Initiativen, KPIs und Entscheidungen
Verantwortung für das KPI-System; Erstellung von Dashboards (Salesforce, Looker, Google Sheets)
Leads a team responsible for the roadmap, administration, service quality, standards, vendor performance, and maker enablement of one or more enterprise AI platforms.
Compensation
$97,219.20 - $180,835.20
Responsibilities
Own assigned AI platform product and service roadmaps, prioritized backlogs, lifecycle plans, service definitions, and measurable outcomes.
Translate enterprise and user needs into platform capabilities, administration practices, approved patterns, documentation, integration priorities, and enablement plans.
Establish and oversee tenant, environment, access, provisioning, configuration, model-access, policy-control, capacity, usage, cost, and lifecycle-administration practices.
Define and monitor measures for service quality, responsiveness, adoption, cost, capacity, reliability, vendor performance, user experience, and compliance with approved standards.
Lead vendor relationships and evaluate roadmap changes, licensing, consumption, emerging capabilities, technical dependencies, portability, supportability, and enterprise fit.
Lead an architecture team aligned to the Asset Management Group (AMG) line of business, focusing on data, automation, and artificial intelligence architecture to translate business priorities into technology strategies and delivery roadmaps.
Lead the development and implementation of AI initiatives across the organization, shaping the AI roadmap and integrating AI solutions into existing systems.
Responsibilities
Develop and shape the company-wide AI roadmap
Identify AI opportunities with business units and assess their value
Facilitate workshops to prioritize new AI use cases
Design and implement AI solutions using Microsoft Copilot, Copilot Studio, Azure AI and other technologies
Establish governance, security and compliance standards for AI
Requirements
Bachelor's or equivalent in Computer Science, Business Informatics, Data Science, Engineering or related field
Partner with business units to build and train AI solutions that improve business processes.
Locations (4)
Denver, Colorado, United States
New York, New York, United States
Coral Gables, Florida, United States
Fort Lauderdale, Florida, United States
Compensation
The compensation range offered for this position will be between $140,000 - $160,000 with a performance based incentive plan as well.
Responsibilities
Partner with business units. Map key processes and surface practical AI opportunities, running engagements with guidance from the Head of AI Enablement.
Gestalten und automatisieren von Prozesse mit modernen No-Code/Low-Code Tools, ensuring systems interact correctly, data flows work smoothly, and workflows become more efficient.
Compensation
5.000 € brutto im Monat
Responsibilities
Automatisierung unserer Geschäftsprozesse mit No-Code / Low-Code Tools wie n8n, Zapier, Make
Aufbau, Pflege und Verwaltung von Airtable-Datenbanken
Entwicklung von Front-Ends und Interfaces mit No-Code / Low-Code-Tools
Management und Weiterentwicklung unseres CRM-Systems (insbesondere HubSpot)
Planung, Umsetzung und Implementierung von neuen Geschäftsprozessen
Requirements
Erfolgreich abgeschlossenes Bachelor- oder Masterstudium (B.Sc. / M.Sc.) im Bereich Wirtschaftsinformatik, BWL, Business Administration, Business Management, Bankwesen
Ausbildung im IT-Bereich
erste praktische Erfahrungen im Bereich IT / Automatisierung
Build solutions hands-on. Create custom agents, enterprise skills, and prompt workflows (no-code/low-code) that solve real business problems and demonstrate value.
Work closely with IT. Route opportunities that need custom integrations or development to partner with IT teams with clear, well-documented requirements.
Deliver enablement. Run training sessions, office hours, and enablement content that help employees adopt GenAI tools with confidence.
Grow the shared toolkit. Contribute to and maintain the enterprise library of prompts, skills, and best practices.
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