Senior Specialist, EHS Solution Architecture

Job Description The Opportunity · Join a global healthcare biopharma organization and shape the architecture that connects digital capabilities across Maintenance, Engineering, Asset Reliability, Manufacturing Site Operations, and Environmental Health & Safety. · Lead the evolution of ME and EHS from individual product platforms toward an interoperable, governed, secure, and data-driven ecosystem integrated with critical enterprise systems. · Design central data hubs and reusable information services that make engineering and broader company EHS data discoverable, trusted, contextualized, and available for operational reporting, business insights, advanced analytics, and AI use cases. · Conceptualize digital-thread capabilities that preserve business context and data continuity across engineering, project delivery, commissioning, asset handover, operations, maintenance, reliability, and EHS processes. · Work across global product teams, manufacturing sites, enterprise architecture, data and analytics, cybersecurity, quality, infrastructure, integration teams, vendors, and managed service providers. Role Overview We are hiring a Solution Architect to define and deliver the target architecture for the company. The architect will focus on extending existing platforms so they can interoperate with critical enterprise systems, designing central data hubs for Engineering and other products, and enabling governed use of digital data for business insights and AI. The role combines strategy, hands-on architecture, feasibility assessment, solution design, technical governance, and delivery leadership. The Solution Architect will translate business and product strategies into architecture principles, capability models, reference architectures, integration patterns, data-product designs, technology roadmaps, and executable implementation increments. The role will assess current-state constraints, identify reusable platform capabilities, evaluate build-versus-buy options, guide proof-of-concept and pilot work, and ensure solutions are secure, compliant, scalable, supportable, and aligned with enterprise standards. What You Will Do · Define the MEEHS target architecture: Develop current-state, transition-state, and target-state architectures spanning applications, integrations, identity, cloud services, infrastructure, data, analytics, security, and operations. · Enable enterprise interoperability: Design and implement integration patterns that connect with critical enterprise systems through APIs, events, middleware, managed file exchange, master data services, and governed data-sharing mechanisms. · Architect central data hubs: Design central data hubs for Engineering and other EHS products, including ingestion, storage, transformation, semantic modeling, metadata, lineage, access, quality, retention, observability, and consumption layers. · Establish trusted information models: Define canonical data models, business vocabularies, identifiers, metadata standards, master and reference data alignment, and contextual relationships across projects, facilities, systems, equipment, documents, work processes, risks, and controls. · Advance digital-thread capabilities: Conceptualize and assess digital-thread use cases connecting engineering design, project controls, construction, commissioning and qualification, asset handover, site operations, maintenance, reliability, and EHS information. · Assess feasibility and shape investments: Evaluate business value, technical feasibility, architecture fit, data readiness, integration complexity, cybersecurity, compliance, operating impact, cost, vendor capability, dependencies, and delivery risk. · Enable insights and AI readiness: Create governed data foundations that support operational dashboards, KPI reporting, predictive insights, AI-assisted search, knowledge retrieval, machine-learning use cases, and future agent-enabled workflows. Design and build visualization layer using Power BI. · Provide delivery leadership: Convert approved concepts into solution designs, architecture decision records, integration specifications, data contracts, implementation roadmaps, technical work packages, non-functional requirements, test strategies, deployment plans, and support models. · Guide platform and vendor decisions: Lead technical evaluations of COTS, SaaS, cloud, data, integration, analytics, and AI technologies; assess vendor roadmaps and architecture claims; and recommend fit-for-purpose solutions. · Embed security, privacy, and compliance: Incorporate secure-by-design, least-privilege access, identity federation, encryption, logging, monitoring, data classification, privacy, records management, GMP/GxP, validation, and audit-readiness requirements. · Partner through a product mindset: Work with Product Managers to connect user needs and business outcomes to capabilities, roadmaps, backlogs, release increments, adoption measures, product health, value realization, and total cost of ownership. What You Should Have Primary Skills: TOGAF API Architecture (REST, OData, Web Services) Data Architecture (Lakes, Lakehouse, Warehouse) Enterprise System Integration AI/Machine Learning Architecture Secondary Skills: CAD/BIM Platforms (Autodesk, Bentley) CMMS / Asset Reliability Platforms EHS Platforms (Enablon, Sphera, Cority, Intelex) · Bachelor's or master's degree in computer science, Software Engineering, Information Systems, Data Engineering, Engineering, or a related discipline, or equivalent relevant experience. · At least 8 years of IT experience, including substantial experience in system architecture, solution architecture, enterprise integration, application modernization, and data-platform design. · Demonstrated experience creating solution, integration, application, data, cloud, security, and deployment architectures for complex enterprise environments. · Experience designing interoperability across COTS, SaaS, vendor-hosted, cloud, hybrid, and enterprise platforms using reusable integration and information patterns. · Experience architecting data hubs, data platforms, warehouses, lakes or lakehouses, semantic models, metadata and lineage capabilities, data quality controls, and governed analytical consumption. · Experience progressing concepts from discovery and feasibility assessment through proof of concept, pilot, implementation, rollout, operational transition, and lifecycle management. · Experience working with enterprise architecture, cybersecurity, privacy, quality, infrastructure, integration, data and analytics, procurement, service management, vendors, and managed service teams. · Pharmaceutical or regulated manufacturing experience is preferred. Experience in other industrial manufacturing sectors supporting engineering, maintenance, asset reliability, construction, manufacturing operations, or EHS will also be considered. Technical Knowledge · Architecture methods and modeling: Capability mapping, domain architecture, reference architectures, architecture principles, transition roadmaps, architecture decision records, non-functional requirements, design reviews, and modeling approaches such as ArchiMate or UML. · Integration and interoperability: API-first and event-driven architecture; REST, SOAP, JSON, XML, OData, webhooks, message queues, event streaming, API gateway