aianalyticsapidata modelingevent driven architecturedata architecturedata governancecloud architectureenterprise architectureresponsible ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$120к-225к/год
$170к$190кмедиана$230к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $4.7к/мес ($3.8к - $7.2к)
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Хорошая вакансия
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У роли четкий фокус на корпоративной архитектуре данных, заметное стратегическое влияние и работа с аналитикой и ИИ, но широкий охват задач и обязательные четыре дня в офисе снижают гибкость.
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Широкий охватАктуальная архитектураВлияние на стратегиюМало удалёнкиШирокий соцпакет
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Enterprise Architect, Data (Data Architecture/AI): Developing enterprise data architecture strategies, roadmaps, reference architectures, modeling standards, and AI-enabling data capabilities across investment management technology with an accent on trusted data, analytics platforms, governance, and responsible AI. Focus on shaping scalable platform evolution, evaluating data and AI technologies, managing architecture risk, and guiding senior stakeholders and delivery teams through complex technology decisions.
Location: Boston, MA, United States; hybrid schedule with office work 4 days per week and remote work 1 day per week.
Base salary: USD 120,000–225,000 per year, plus potential variable compensation and benefits.
Company
hirify.global is an independent investment management firm serving institutional clients and mutual fund sponsors in more than 60 countries, with over US$1 trillion in assets under management as of 30 September 2025.
What you will do
Develop enterprise data architecture strategies, roadmaps, target-state designs, transition plans, reference architectures, standards, and reusable patterns.
Guide data platforms, data products, analytics, semantic layers, business intelligence, API and event platforms, cloud data infrastructure, and AI-enabling data services.
Define data modeling approaches and promote governed data products, reusable services, common semantic models, consistent integration patterns, and trusted data reuse.
Assess architecture risks, data quality, metadata and lineage gaps, resiliency, privacy, security, technology debt, cost, and responsible AI requirements.
Lead technology evaluations, proofs of concept, build-vs.-buy recommendations, industry research, and architecture guidance for data, analytics, and AI technologies.
Partner with CIOs, product owners, architects, engineers, governance teams, risk partners, and senior stakeholders; facilitate reviews, workshops, decision-making, mentoring, and architecture practice development.
Requirements
Bachelor’s degree in Technology, Computer Science, Data Science, Engineering, Information Systems, Business, or a related field; advanced degree or equivalent experience is preferred.
10 or more years of experience in technology leadership, enterprise architecture, data architecture, solution architecture, platform architecture, analytics architecture, technology strategy, or large-scale technology transformation.
Experience developing data architecture strategies, roadmaps, reference architectures, modeling standards, data patterns, and governance materials in a complex enterprise environment.
Strong understanding of data platforms, data products, data modeling, domain-driven design, API and event-driven integration, semantic layers, business intelligence, analytics engineering, cloud-native architecture, infrastructure as code, DevSecOps, AI platforms, and reusable platform services.
Experience evaluating technology decisions through business value, trusted data, governance, risk, resiliency, security, cost, operational impact, responsible AI, and long-term maintainability.
Experience working with senior technology leaders, product owners, solution architects, data engineers, analytics teams, risk, information security, infrastructure, data governance, privacy, and AI governance teams.
Strong executive communication skills and the ability to translate complex data, analytics, and AI architecture concepts into concise, business-aligned recommendations.
Experience with architecture governance, architecture review boards, technology standards, non-functional requirements, data governance, technical debt management, and post-implementation validation.
Ability to influence without formal authority, build trust through expertise and collaboration, and bring structure to ambiguous problems across multiple stakeholders and initiatives.
Nice to have
Advanced degree or equivalent experience.
Familiarity with architecture frameworks, modeling approaches, TOGAF, Open Group standards, DAMA/DMBOK concepts, or related architecture and data management practices.
Culture & Benefits
Collaborative culture that encourages independent thought, healthy debate, and diverse perspectives.
Flexible hybrid work environment with four days in the office and one day working remotely each week.
Benefits include retirement plan, health, dental, vision, pharmacy, health savings and flexible spending accounts, commuter program, insurance, adoption assistance, backup childcare, tuition/CFA reimbursement, and paid leave.
Eligible employees may receive discretionary corporate bonuses or incentives.
Equal opportunity employer committed to considering candidates with diverse experiences and backgrounds; reasonable application accommodations are available for candidates with disabilities.
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