22 часа назад
Senior Director, Commercialization Technology Architect (AI)
228 000 - 342 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Director, Commercialization Technology Architect (AI): Defining and governing enterprise architecture, integration patterns, and platform standards for scalable AI and digital capabilities across commercial and medical ecosystems with an accent on Salesforce, Veeva, cloud platforms, data architectures, and regulated environments. Focus on designing real-time and batch integrations, establishing secure and compliant AI patterns, and guiding production-ready architecture decisions across engineering and data teams.
Location: Boston, MA, United States. Hybrid work is available up to two days remotely per week, or the role may be performed on-site five days per week.
Base salary: $228,000–$342,000 per year, plus eligibility for an annual bonus and annual equity awards.
Company
Vertex is a global biotechnology company investing in scientific innovation and developing therapies across new disease areas and geographies.
What you will do
- Define and govern target-state architecture, reference architectures, integration patterns, and engineering standards across Commercial and Medical ecosystems.
- Design data flows and integrations across Salesforce, Veeva, enterprise data platforms, and downstream systems using APIs, event-driven patterns, and batch architectures.
- Establish cloud, data, environment, deployment, DevOps, observability, and architecture documentation standards.
- Lead build-versus-buy-versus-partner decisions and serve as the final architecture authority for design reviews and major platform decisions.
- Partner with Product Management, Engineering, Data, InfoSec, Legal, Privacy, and Quality teams to deliver production-ready solutions.
Requirements
- Deep expertise in enterprise architecture, solution design, distributed systems, complex integrations, and data architecture at scale.
- Strong experience with CRM and commercial platforms, including Salesforce and Veeva.
- Hands-on experience with cloud and data warehouse platforms such as AWS, Azure, Snowflake, and modern data stacks including Databricks.
- Experience designing AI, machine learning, and LLM-based systems, including AI architecture patterns such as MCP.
- Expertise in security, privacy, compliance, and regulated environments, including SOX and GxP.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, plus 12+ years of enterprise or solution architecture experience.
Nice to have
- Experience in pharmaceutical, biotechnology, or regulated healthcare environments.
- Experience across Commercial, Medical, or patient services systems.
Culture & Benefits
- Continuous learning focused on AI, technology, automation, and industry trends.
- Medical, dental, and vision benefits with paid time off and company shutdowns in summer and winter.
- Educational assistance programs, including student loan repayment.
- Commuting subsidy, matching charitable donations, and 401(k) benefits.
- Equal employment opportunity, reasonable workplace accommodations, and an inclusive work environment.
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