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Senior Implementation Lead (m/f/d)

Job ID
490153
Posted since
30-Dec-2025
Organization
Digital Industries
Field of work
Sales
Company
Siemens Industry Software GmbH
Experience level
Experienced Professional
Job type
Full-time
Work mode
Hybrid (Remote/Office)
Employment type
Permanent
Location(s)
  • London - London City of - United Kingdom

Senior Implementation Lead (m/f/d)

London / Frankfurt
Go To Market – Expert Services /
Full-time /
Hybrid
Mendix – the leading low-code application development platform:
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We are looking for a Senior Implementation Lead to lead complex AI Fabric implementations in EMEA leveraging Knowledge Graphs, Generative AI, and the Siemens technology suite.

Key elements of the role:

    • Lead end-to-end implementations of RapidMiner Graph Studio and Graph Lakehouse solutions, transforming enterprise data into strategic knowledge graph platforms
    • Architect and deploy semantic data integration solutions using W3C standards (RDF, RDFS, OWL, SPARQL) to create enterprise-scale knowledge graphs for critical business applications
    • Design and implement ontology models that represent complex business domains, enabling semantic interoperability and advanced analytics across disparate data sources
    • Build semantic mapping frameworks to transform structured and unstructured data sources into RDF triple stores, ensuring data quality and consistency
    • Configure and optimize Graphmart architectures including query templates, validation rules, search indexes, write-back mechanisms, and inference engines
    • Integrate authentication and authorization frameworks (Keycloak, ABAC) with fine-grained access control policies for secure knowledge graph deployments
    • Implement data virtualization strategies to provide unified semantic access layers across federated data sources without physical data movement
    • Develop SPARQL queries and interactive dashboards using Harris Analytics to deliver actionable insights from knowledge graph data
    • Deploy GenAI applications integrated with knowledge graphs to enable retrieval-augmented generation (RAG), semantic search, and AI-powered analytics
    • Partner with data architects and engineers to design scalable graph database architectures aligned with enterprise data governance frameworks
    • Mentor customer teams on knowledge graph best practices, semantic modeling methodologies, and Graph Studio platform capabilities
    • Lead workshops and enablement sessions for partners and customers, accelerating adoption and building internal competencies
    • Troubleshoot complex technical challenges in production environments, providing rapid resolution and continuous optimization
    • Collaborate with product teams to provide customer feedback, influence roadmap priorities, and contribute to platform evolution
    • Support pre-sales activities by conducting technical discovery, proof-of-concept implementations, and solution architecture design
    • Champion AI and knowledge graph adoption within customer organizations by demonstrating value through tangible business outcomes

Education:

    • A degree in Computer Science, Data Science, Information Systems, Software Engineering, or related technical field/
    • Advanced certifications in semantic web technologies, knowledge graphs, or enterprise data architecture are a plus.

Experience & Skills:

    • 8+ years of experience in enterprise software implementation, with at least 4+ years focused on AI, knowledge graphs, semantic technologies, or advanced analytics platforms
    • Proven expertise in knowledge graph platforms, semantic web standards (RDF, RDFS, OWL, SPARQL, SHACL), and graph database technologies (e.g., RDF triple stores, property graphs)
    • Deep understanding of ontology engineering, semantic modeling, and linked data principles with hands-on experience creating production-grade ontologies
    • Demonstrated success leading complex, multi-stakeholder implementation projects from requirements gathering through production deployment
    • Strong technical skills in data integration, ETL/ELT processes, and working with diverse data sources (relational databases, NoSQL, cloud storage, APIs)
    • Experience with GenAI technologies including large language models, vector databases, embeddings, and retrieval-augmented generation (RAG) architectures
    • Proficiency in SPARQL for querying and manipulating RDF data, with ability to write complex federated queries and inference rules
    • Familiarity with authentication/authorization frameworks such as Keycloak, OAuth2, SAML, and attribute-based access control (ABAC)
    • Knowledge of enterprise integration patterns, API design, microservices architectures, and cloud platforms (AWS, Azure, GCP)
    • Programming skills in Python, Java, or similar languages for scripting, automation, and extending platform capabilities
    • Customer-facing excellence: ability to build trusted advisor relationships with C-level executives, technical leaders, and business stakeholders
    • Strong analytical and problem-solving skills with ability to diagnose complex technical issues and design elegant solutions
    • Excellent communication skill - able to translate complex technical concepts into clear, business-focused narratives that drive decision-making
    • Collaborative mindset with proven ability to work effectively across global, cross-functional teams in matrixed organizations
    • Growth-oriented approach with passion for continuous learning and staying current with emerging AI and semantic technology trends
    • Project management capabilities including agile methodologies, stakeholder management, risk mitigation, and delivery excellence

Other requirements:

    • Business-fluent English is required for effective communication in international settings
    • Additional European languages (German, French, Spanish, or others) are highly valuable for regional customer engagements.
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