Job Description
Look for manufacturing pharma & life science not who worked in distributor companies . Senior Level - Enterprise/Solution Architect (Life Sciences)
Location:
Foster City (on-site / hybrid)
Employment type: Full-time (40 hours)
Level:
Manager/ Individual Contributor
Reporting to: Head of Enterprise Architecture End client will be Life Sciences / Pharma ________________________________________________________________________________________________________________________________________________________________________ Role summary We are seeking a senior-level Enterprise / Solution Architect to drive enterprise and solution architecture initiatives with a strong focus on Finance domain capabilities within a Life Sciences organization. This role will be responsible for translating business and finance strategy into scalable, secure, and compliant target-state architectures, while enabling modernization through AI-driven solutions , including agentic and autonomous architectures . The role requires deep expertise in Finance systems and controls , experience operating in regulated environments , and hands-on architecture leadership across cloud, data, integration, security, and AI platforms . ________________________________________________________________________________________________________________________________________________________________________ Key responsibilities Define, evolve, and socialize enterprise and solution architecture strategies and roadmaps with primary ownership of the Finance domain (Record to Report, Order to Cash, Procure to Pay, FP&A, Treasury). Ensure architecture designs meet financial compliance and control requirements , including Sarbanes-Oxley (SOX) and broader audit and regulatory standards. Lead solution and architecture reviews; ensure adherence to architectural principles, security, scalability, and compliance expectations. Design target-state application, data, and integration architectures , leveraging APIs, event-driven patterns, and canonical data models. Provide architectural guidance for AI-enabled finance solutions , including: Scalable AI/ML platform architectures Agentic AI solutions and multi-agent orchestration Model Context Protocol (MCP) and Agent-to-Agent (A2A) interaction patterns Partner closely with Finance, IT, Security, and Compliance stakeholders to align architecture decisions with business outcomes. Establish and operate architecture governance processes including intake, review, approval, and compliance tracking. Provide architectural oversight for major finance and enterprise programs, modernization initiatives, and cloud transformations. ________________________________________________________________________________________________________________________________________________________________________ Deliverables Documented enterprise and finance-domain architecture vision with a 12-24-month roadmap. Architecture decision records (ADRs) and reference designs for: Finance platforms and integrations AI-enabled finance use cases Cloud landing zones, data platforms, and identity & access management Operationalized architecture governance with clear compliance checkpoints. Prioritized view of technical debt and modernization opportunities. ________________________________________________________________________________________________________________________________________________________________________ Required qualifications 15+ years of overall technology experience with 5+ years in enterprise or solution architecture roles. Strong Finance domain architecture expertise , including systems, data, controls, and compliance. Practical experience working with Sarbanes-Oxley (SOX) controls and audited environments. Strong architecture skills across:
Cloud platforms (AWS / Azure / Google Cloud Platform) Microservices, APIs, and event-driven architectures Data platforms (Lakehouse, warehouse, analytics) Security, IAM, and enterprise integration (ESB, iPaaS) Solid experience with architecture frameworks and governance (TOGAF, ArchiMate, or equivalent). Excellent stakeholder management skills with the ability to communicate complex concepts to both technical and non-technical audiences. Life Sciences / Pharma domain experience highly preferred _________________________________________________________________________________________________________________________________________ Preferred skills & certifications Bachelor s degree in computer science, Engineering, Information Systems, or equivalent experience. Certifications such as TOGAF, AWS/Azure/Google Cloud Platform Professional, CISSP, or PMP. Experience in digital transformation initiatives within Life Sciences, Pharma, or regulated industries. Prior exposure to AI/ML platforms in regulated, enterprise-grade environments.
