• Lead solution architecture for a S/4HANA based transformation program, addressing critical dimensions of business processes, data & analytics, applications, and technologies. • Lead the definition of the Solution Architecture in challenging business transformation projects(overall solution design including end-to-end design, integrations, and data migration) • Ensure that technical solutions, platforms, and systems satisfy business requirements and future needs. • Develop and implement an enterprise roadmap for SAP S/4HANA and a suite of new solutions including leadership of the ERP non-functional roadmap and related enterprise-wide integration requirements. • Provision digital capabilities to enhance and transform the business and to enable new business models. • Provide leadership, guidance, and technical solutions for focus areas e.g. SAP S/4HANA, SAP Cloud Platform, digital platforms, Cloud Integration, API Management, AI, Advanced Analytics and IOT. • Ensure a well-structured and defined solution architecture framework - delivering to time, cost, and quality and within budget. • Ensure adherence to solution governance and enterprise architecture principles and standards. • Lead and participate in key governance forums including Architecture Review Boards, Program Boards, Change Control Boards, and Integration Management meetings. • Active participation in business development and pre-sales activities, including proposals and responses to “Requests for Proposal” (RFPs) and “Requests for Information” (RFIs). • Proactively manage, monitor, and report on the identification, impact, dependencies, risks, mitigations and implementation status of solution architecture topics and areas for improvement; and own the resolution of solution architecture issues. • Liaise with 3rd party providers and vendors as needed. • Manage internal consulting resources, 3rd party provider resources, and contract resources.

• Lead definition of solution architecture for a S/4HANA based transformation program, addressing critical dimensions of business processes, data & analytics, applications, and technologies. • Active participation in business development and pre-sales activities, including proposals and responses to “Requests for Proposal” (RFPs) and “Requests for Information” (RFIs). • Lead the definition of the Solution Architecture of challenging IT/ business transformation projects in the Life Sciences industry, predominantly SAP-based. • Ensure that technical solutions, platforms, and systems satisfy business requirements and future needs. • Develop and implement an enterprise roadmap for SAP S/4HANA and a suite of new solutions including leadership of the ERP non-functional roadmap and related enterprise-wide integration requirements. • Provision digital capabilities to enhance and transform the business and to enable new business models. • Provide leadership, guidance, and technical solutions for focus areas e.g. SAP S/4HANA, SAP Leonardo, SAP Cloud Platform, digital platforms, Cloud Integration, API Management, AI, Advanced Analytics and IOT. • Ensure a well-structured and defined solution architecture framework - delivering to time, cost, and quality and within budget. • Ensure adherence to solution governance and enterprise architecture principles and standards. • Lead and participate in key governance forums including Architecture Review Boards, Program Boards, Change Control Boards, and Integration Management meetings. • Proactively manage, monitor, and report on the identification, impact, dependencies, risks, mitigations and implementation status of solution architecture topics and areas for improvement; and own the resolution of solution architecture issues. • Liaise with 3rd party providers and vendors as needed. • Manage internal consulting resources, 3rd party provider resources, and contract resources.

• Lead solution architecture for a S/4HANA based transformation program, addressing critical dimensions of business processes, data & analytics, applications, and technologies. • Lead the definition of the Solution Architecture in challenging business transformation projects(overall solution design including end-to-end design, integrations, and data migration). • Ensure that technical solutions, platforms, and systems satisfy business requirements and future needs. • Develop and implement an enterprise roadmap for SAP S/4HANA and a suite of new solutions including leadership of the ERP non-functional roadmap and related enterprise-wide integration requirements. • Provision digital capabilities to enhance and transform the business and to enable new business models. • Provide leadership, guidance, and technical solutions for focus areas e.g. SAP S/4HANA, SAP Cloud Platform, digital platforms, Cloud Integration, API Management, AI, Advanced Analytics and IOT. • Ensure a well-structured and defined solution architecture framework - delivering to time, cost, and quality and within budget. • Ensure adherence to solution governance and enterprise architecture principles and standards. • Lead and participate in key governance forums including Architecture Review Boards, Program Boards, Change Control Boards, and Integration Management meetings. • Active participation in business development and pre-sales activities, including proposals and responses to “Requests for Proposal” (RFPs) and “Requests for Information” (RFIs). • Proactively manage, monitor, and report on the identification, impact, dependencies, risks, mitigations and implementation status of solution architecture topics and areas for improvement; and own the resolution of solution architecture issues. • Liaise with 3rd party providers and vendors as needed. • Manage internal consulting resources, 3rd party provider resources, and contract resources.

• Hands‑On AI & Intelligent Automation Development (Primary Accountability) • Independently design, build, and maintain: AI prompts and prompt libraries, LLM based agents and copilots, Chatbots, automation scripts, and end to end intelligent workflows • Lead rapid prototyping and experimentation; convert successful pilots into scalable, production grade solutions • Own the day-to-day technical health of deployed solutions, including monitoring, troubleshooting, performance tuning, and reliability improvements • Build and maintain robust integrations with enterprise platforms using APIs, services, data pipelines, and workflow orchestration tools • End ‑ to ‑ End Solution Architecture & Delivery Ownership • Serve as the end-to-end AI solution architect for assigned initiatives, making architectural decisions and implementing them hands on • Define and standardize solution patterns for: Agent architectures (RAG, tool calling, multi agent orchestration) • Integration and data flow design • Environmental promotion and deployment strategies (dev/test/prod) • Own delivery planning with clearly defined value metrics, success criteria, and timelines • Proactively identify technical risks, trade offs, and dependencies and drive resolution • Use Case Execution & Enterprise Impact • Lead execution for high‑impact, enterprise‑level AI and automation use cases, particularly complex or manual processes with measurable value potential • Translate loosely defined business problems into durable, production‑ready AI solutions • Typical use cases include, but are not limited to: LLM‑based agents for case intake, triage, summarization, and decision support, Intelligent document processing across emails, PDFs, forms, and unstructured content, Workflow automation for finance, operations, compliance, research, or shared services, Embedded AI assistants integrated into enterprise systems to reduce manual effort, errors, and cycle time • Partner closely with business owners to validate outputs, refine logic, and ensure solutions are adopted, trusted, and operationalized • Governance, Security & Compliance (Lead ‑ Level Accountability) • Ensure all solutions comply with enterprise AI governance standards, ethical AI principles, and corporate policies • Design and implement secure‑by‑default solutions, including documentation, traceability, monitoring, and audit readiness • Anticipate and mitigate risks related to data privacy, access control, model behavior, hallucinations, bias, and operational resilience • Partner with architecture, security, and data governance teams to ensure compliant solution design, especially within regulated environments • Evangelism, Enablement & Technical Leadership • Evangelize AI and intelligent automation capabilities across the organization by engaging business stakeholders, translating opportunities into concrete solution concepts, and demonstrating value through working solutions • Produce high‑quality technical documentation, user guides, and SOPs • Lead hands‑on enablement sessions, workshops, and knowledge transfer to drive adoption • Act as a technical mentor and thought leader, influencing standards, patterns, and best practices across AI and automation initiatives. • Collaborate with business and technology partners to continuously improve AI‑enhanced workflows