• Lead a policy and practice team focused on immigration and integration infrastructure • Develop policy recommendations and practice models aligned with WES's goals • Provide technical assistance and subject-matter expertise • Create and manage a high performing team • Collaborate with federal, state, and local actors to advance policy objectives

Role Description The Certinia Solution Architect designs and delivers solution architectures that support Forterro’s Professional Services (PS) strategy. Using deep Certinia expertise and a strong understanding of PS processes, the role ensures the effective integration and optimisation of Certinia within Forterro’s IT landscape. It leads technical workstreams, tackles complex challenges, collaborates with cross‑functional stakeholders, supports external partners and works hands‑on with Certinia modules. Responsibilities - Leads Certinia solution architecture activities across the entire Forterro enterprise IT landscape. - Analyses business requirements and translates them into end‑to‑end Certinia solution designs. - Defines configuration and customisation approaches aligned with best practices. - Validates solution designs with both business and technical stakeholders. - Communicates architectural principles and process impacts to internal and external stakeholders. - Influences cross‑functional decisions to ensure solution alignment and adoption. - Guides the testing and validation of Certinia solutions and related process definitions. - Solves complex issues using experience, structured analysis and sound judgement. - Provides direction to external implementation partners. - Works hands‑on within Certinia and supports all technical teams involved. Qualifications - Extensive experience in Certinia solution architecture or Certinia implementation. - Strong mastery of Certinia integrations and end‑to‑end business processes. - Proven ability to independently lead and deliver complex process designs and implementations. - Strong capability to translate business requirements into robust Certinia solution designs. - Clear and effective communication skills when working with cross‑functional stakeholders. - Ability to influence decisions beyond the immediate scope of the role. - Advanced education and substantial experience in business, IT or a related field.

• Lead strategic engagements focused on the implementation and transformation of PLM systems. • Serve as a trusted advisor to clients and partners. • Collaborate across PTC’s ecosystem to design, validate, and deploy PLM architectures. • Conduct technical assessments and provide direction for estimating and planning. • Facilitate client workshops and develop actionable solution roadmaps. • Mentor and guide project teams to ensure high-quality deliverables.

• Contribute to AWS architecture decisions across client engagements in partnership with client and Nimble Gravity teams. • Design and evolve AWS-based platforms that support analytics, applications, automation, and AI at enterprise scale. • Help define target-state architectures across compute, storage, networking, and data platforms. • Support the development and adoption of standards for scalability, performance, security, resiliency, and cost efficiency. • Architect and implement cloud-native solutions using core AWS services across compute, storage, networking, and security. • Design infrastructure patterns that are reliable, maintainable, and repeatable across environments. • Support multi-account strategies, landing zones, and environment management best practices. • Collaborate with engineering and client teams to ensure consistent application of AWS standards and reusable platform capabilities. • Support the design and operation of modern data platforms leveraging AWS and Databricks. • Enable scalable, secure data pipelines and analytics environments across batch, ELT, and streaming workloads. • Help define patterns for data access, governance, and performance optimization. • Partner with Data Engineering and Analytics teams to ensure platforms meet performance and reliability needs. • Support cloud environments that enable machine learning and AI workloads. • Ensure platforms are scalable, secure, and ready for advanced analytics use cases. • Collaborate with Data Science and Engineering teams to support experimentation and model deployment. • Support the implementation of standards for cloud governance, security, compliance, observability, and operational excellence. • Ensure architectures align with regulatory and client-specific requirements such as SOC 2, HIPAA, GDPR, or similar frameworks. • Apply best practices for IAM, encryption, network segmentation, disaster recovery, and platform resilience. • Support key clients in the administration of AWS environments, including account structure, IAM, networking, monitoring, and cost management. • Implement infrastructure as code, CI/CD practices, and environment management processes. • Partner with teams to optimize AWS and Databricks performance, troubleshoot issues, and improve reliability and scalability. • Provide hands-on technical leadership across AWS services and platform operations for key client engagements.