Data & Integrations Architect
3 days ago
City of London
Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. About The Role As Data & Integrations Architect, you will define and govern how data is structured, integrated, and managed across Humanoid, with an initial focus on ERP and a broader remit spanning PLM / Engineering systems, analytics, and operational systems. The primary purpose of the role is to establish robust data architecture, integration patterns, and governance discipline that support: • Reliable transactional processing, • Consistent, reliable reporting and analytics, • Clear system-of-record boundaries, • ERP Programme Manager, to align data and integration architecture with delivery sequencing and dependencies, • ERP Functional Lead, who owns business meaning and process / ERP semantics, • Engineering and PLM leadership, who retain ownership of engineering data domains, • Define the enterprise data architecture across ERP, PLM / Engineering systems, analytics, and operational systems., • Establish clear principles for:, • System of record, • Data ownership and stewardship, • Master data vs transactional data, • Operational vs historical data, • Define and own integration architecture standards and patterns across the enterprise., • Act as design authority for:, • ERP-centric integrations, • ERP–PLM integrations, • Integrations between operational systems, analytics platforms, and external services, • Prevent uncontrolled point-to-point integrations and ad-hoc data movement., • Own architectural decisions related to ERP data and integrations, including:, • Master data propagation, • Transactional data flows, • Event-driven vs batch integration approaches, • Define architectural patterns for ERP–PLM integration., • Clarify system-of-record boundaries between business and engineering data., • Ensure BOM, part, revision, and change data can be consumed outside PLM where required., • Ensure data structures and integrations support reporting, analytics, and operational decision-making., • Define how analytical datasets are derived from operational systems., • Ensure data and integrations are structured, governed, and exposed in a way that makes them directly usable by AI models and agents as required., • Avoid architectural choices that would block or significantly delay AI-driven automation or decision support., • Essential, • Proven experience as a Data Architect, Integration Architect, or equivalent, with real delivery accountability., • Strong experience working with ERP-centric data and integration landscapes., • Solid understanding of:, • Data modelling and data flows, • Integration patterns (APIs, events, batch, asynchronous messaging), • System-of-record and ownership design, • Experience establishing data governance and architectural standards., • Practical understanding of how data and integrations should be structured to support analytics and future AI use cases., • Comfortable operating as a design authority and challenging stakeholders constructively., • Strong delivery bias; pragmatic rather than academic., • Able to communicate clearly across technical and non-technical audiences., • Desirable, • Experience operating in scale-up or transformation environments., • Exposure to manufacturing, engineering, or product-led organisations., • Experience working across ERP and PLM / Engineering systems data domains., • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Boston and Vancouver offices, • Office perks: free breakfasts and lunches, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics