Senior Level - Enterprise/Solution Architect (Life Sciences)

Falcon
San Carlos, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

San Carlos, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Information Systems
Identity and Access Management
Platform as a Service (PAAS)
Azure
Multi-Agent Systems
Archimate
Technical Debt
Togaf
AI Platforms
Information Technology
Enterprise Integration
Data Management
Microservices

Job description

ryWe 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 architecture

s.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 platform

s. Key responsibilit

  • iesDefine, 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, Treasur
  • y).Ensure architecture designs meet financial compliance and control requirements, including Sarbanes-Oxley (SOX) and broader audit and regulatory standar
  • ds.Lead solution and architecture reviews; ensure adherence to architectural principles, security, scalability, and compliance expectatio
  • ns.Design target-state application, data, and integration architectures, leveraging APIs, event-driven patterns, and canonical data mode
  • ls.Provide architectural guidance for AI-enabled finance solutions, includi
  • ng:Scalable AI/ML platform architectu
  • resAgentic AI solutions and multi-agent orchestrat
  • ionModel Context Protocol (MCP) and Agent-to-Agent (A2A) interaction patte
  • rnsPartner closely with Finance, IT, Security, and Compliance stakeholders to align architecture decisions with business outcom
  • es.Establish and operate architecture governance processes including intake, review, approval, and compliance tracki
  • ng.Provide architectural oversight for major finance and enterprise programs, modernization initiatives, and cloud transformatio

ns. Delivera

  • blesDocumented enterprise and finance-domain architecture vision with a 12-24 month road
  • map.Architecture decision records (ADRs) and reference designs
  • for:Finance platforms and integrat
  • ionsAI-enabled finance use c
  • asesCloud landing zones, data platforms, and identity & access manage
  • mentOperationalized architecture governance with clear compliance checkpoi
  • nts.Prioritized view of technical debt and modernization opportunit

Requirements

  • tions15+ years of overall technology experience with 5+ years in enterprise or soliution architecture
  • rolesStrong Finance domain architecture expertise , including systems, data, controls, and compli
  • ance.Practical experience working with Sarbnes-Oxley (SOX) controls and audited environm
  • ents.Strong architecture skills ac
  • ross:Cloud platforms (AWS / Azure /
  • GCP)Microservices, APIs, and event-driven architec
  • turesData platforms (Lakehouse, warehouse, analy
  • tics)Security, IAM, and enterprise integration (ESB, i
  • PaaS)Solid experience with architecture frameworks and governance (TOGAF, ArchiMate, or equival
  • ent).Excellent stakeholder management skills with the ability to communicate complex concepts to both technical and non-technical audie
  • nces.Life science / Pharma domain experience highly pref

erred Preferred skills & certific

  • ationsBachelor's degree in Computer Science, Engineering, Information Systems, or equivalent exper
  • ience.Certifications such as TOGAF, AWS/Azure/GCP Professional, CISSP, o
  • r PMP.Experience in digital transformation initiatives within Life Sciences, Pharma, or regulated indus

tries.Prior exposure to AI/ML platforms in regulated, enterprise-grade environ

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