Enterprise Architect (Business Technology Architect) - Life Sciences Industry Expert
CapgeminiAbout the role
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
About the Job You're Considering
The Life Sciences Industry Enterprise Architect (Business Technology Architect) is a strategic technology leader responsible for defining, designing, and governing the enterprise architecture that enables regulated, data‑driven, and scalable Life Sciences operations. This role partners closely with R&D, Clinical, Regulatory, Pharmacovigilance/Safety, Manufacturing, Supply Chain, Commercial, Finance, Quality, and Security teams to ensure the enterprise ecosystem supports compliance, speed to market, resilience, scalability, and operational efficiency.
Enterprise Architects (Business Technology Architects) define and structure the enterprise’s business and technology strategy, capabilities, services, governance, organizational domains, and key business processes, translating business intent into end‑to‑end architecture outcomes. They align goals and objectives with products, platforms (including package‑based solutions), processes, services, partners, and suppliers to optimize the Life Sciences operating model, its capabilities, and its initiatives. The focus is end‑to‑end value delivery, regulated operations, and the business motivations that connect enterprise networks, data, and technology ecosystems.
This role requires expertise in package‑centric Life Sciences landscapes and hybrid architectures, balancing vendor platforms with differentiated capabilities, across the Life Sciences value chain, including Pharmaceuticals (Innovator & Generics), Biotechnology, MedTech & Medical Devices, Diagnostics, Consumer Health, and the extended ecosystem of CROs, CMOs/CDMOs, distributors, and channel partners.
Your Role
- Managing Enterprise Architect (Business Technology Architect) – Design, deliver, and manage complete enterprise architecture solutions, including capability‑based roadmaps, target‑state architectures, reference architectures, and governance. Demonstrate leadership across the architect community with a strong focus on business outcomes and pragmatic execution.
- Translate business outcomes (regulatory compliance, product quality, cycle‑time reduction, supply reliability, data integrity, revenue protection) into non‑functional, reliability, security, and observability architectural requirements.
- Operate as a stream lead at CIO/CTO level for internal or external clients; lead Capgemini architecture execution related to market development and service delivery excellence.
- Own enterprise architecture strategy and roadmap for Life Sciences ecosystems, aligned to business priorities, growth plans, and operational realities (regulated delivery, validation expectations, scalability, and resilience).
- Architect and guide platforms and integrations across package‑based Life Sciences systems and custom solutions, including ERP, LIMS, MES, QMS, CTMS, CRM, safety, regulatory content systems, manufacturing and supply platforms.
- Drive configuration‑over‑customization decisions for packaged solutions, protecting upgrade paths, validation posture, and long‑term sustainability.
- Design integration and data patterns between Life Sciences platforms, enterprise services, and data layers, including API‑first, event‑driven architectures, messaging, MDM, identity, and observability.
- Guide cloud‑native and hybrid architectures, including microservices and event‑driven patterns, to support scalable digital, data, and AI‑enabled capabilities.
- Partner with Data, AI, and Analytics teams to architect governed data flows across R&D, clinical, manufacturing, supply, and commercial domains; enable analytics, AI/ML, and GenAI use cases with appropriate controls.
- Establish service reliability principles (availability, latency, scalability, resiliency) aligned to Life Sciences operational realities such as batch processing, regulatory submissions, global manufacturing, and supply variability.
- Evaluate emerging technologies (AI/GenAI, automation, advanced analytics, intelligent document processing) for fit, feasibility, risk, and operational value in regulated Life Sciences environments.
- Act as a trusted advisor to CIO/CTO leaders, product owners, and business executives; translate archi
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