Enterprise Architect – Life Sciences industry

Key responsibilities:

Solution Architecture & Technical Leadership within the ART (Agile Release Train)

• Define, maintain, and evolve the solution architecture in alignment with business objectives, product requirements, and enterprise architecture guidelines.
• Work closely with Product Management, Release Train Engineer (RTE), Product Owners, System Architects, and development teams to translate business needs into scalable technical solutions.
• Participate in PI Planning, architectural runway definition, backlog refinement, and other SAFe ceremonies.
• Define and prioritize architectural enablers, technical dependencies, and non-functional requirements.
• Evaluate architectural trade-offs, identify technical risks, and drive decisions across teams.
• Support integration across systems, components, and platforms, ensuring interoperability, performance, security, and maintainability.

Business Unit Solution Shaping & Presales

• Contribute to technical solution design for new business opportunities, RFPs, and customer proposals.
• Collaborate with Business Development, Account Management, and Delivery teams to understand customer needs and translate them into compelling technical solutions.
• Participate in customer workshops, technical presentations, and solution-defense discussions.
• Support the Business Unit in developing technical capabilities, reference architectures, accelerators, AI capabilities and differentiated service offerings.

• 15+ years of experience in digital engineering/IT, with a strong background in Solution Architecture or Technical Leadership.
• Proven experience designing scalable, secure, and complex solution architectures, including system integration and enterprise-level solutions.
• Strong understanding of SAFe/Agile methodologies, preferably with hands-on experience in ART environments and PI Planning.
• Ability to translate business requirements into technical solutions, assess architectural trade-offs, and drive technical decisions across multiple teams.
• Experience in presales activities, technical solution design, RFPs, and customer-facing presentations or workshops.
• Strong stakeholder management and communication skills, with exposure to AI capabilities, reference architectures, and technical innovation considered a plus.

• Previous experience within the Life Sciences domain is considered an advantage.