• Source and qualify new business opportunities in North America. • Build and manage a client pipeline across multiple verticals. • Proactively reach out to prospects via outbound (email, calls, social). • Coordinate discovery & qualification conversations. • Partner with leadership to close deals. • Attend industry events, conferences, and client meetings (travel expected 40% of the time).

• Source and qualify new business opportunities in North America • Build and manage a client pipeline across multiple verticals • Proactively reach out to prospects via outbound (email, calls, social) • Coordinate discovery & qualification conversations • Partner with leadership to close deals • Attend industry events, conferences, and client meetings (travel expected 40% of the time)

• Source and qualify new business opportunities in North America. • Build and manage a client pipeline across multiple verticals. • Proactively reach out to prospects via outbound (email, calls, social). • Coordinate discovery & qualification conversations. • Partner with leadership to close deals. • Attend industry events, conferences, and client meetings (travel expected 40% of the time).

• Lead end-to-end delivery of strategic customer programs from discovery through production deployment and operationalization. • Serve as the primary technical leader across multiple concurrent enterprise engagements. • Drive alignment across customer stakeholders, implementation partners, product teams, and engineering organizations. • Ensure projects are delivered on time, within scope, and aligned with customer business objectives. • Provide executive-level guidance on AI transformation, enterprise intelligence, and operational modernization initiatives. • Collaborate with product, presales, and delivery teams to translate business use cases into knowledge graph-based architectures, reference implementations, and solution blueprints. • Design scalable enterprise architectures leveraging Intelligence Center X, AI Studio, Mendix, Graph, and cloud-native technologies. • Architect enterprise knowledge graph solutions that connect business processes, operational systems, products, data assets, and organizational knowledge. • Design graph-based semantic data models that support enterprise intelligence, AI reasoning, contextual awareness, and relationship analytics. • Apply architectural standards for security, governance, scalability, observability, and operational excellence. • Lead the design and implementation of enterprise knowledge graphs using RapidMiner Graph Studio demonstrating expertise in conceptual modeling, ontology design, graph data management, query and inference techniques, and the engineering practices required to deploy and govern large-scale, production grade knowledge graph systems. • Establish best practices for performance, governance, scalability, and operational management. • Enable customers to transform disconnected enterprise data into connected intelligence assets. • Architect and implement agentic workflows that automate complex business processes and decision-making activities. • Guide customers in identifying and prioritizing high-value AI use cases. • Design enterprise intelligence solutions that combine structured and unstructured data using knowledge graphs and AI services. • Establish governance models for AI agents, knowledge management, data access, and model utilization. • Design graph-powered retrieval and contextual reasoning architectures that improve the effectiveness of enterprise AI agents. • Drive adoption of AI-powered automation while ensuring responsible, secure, and compliant implementation practices.