2 дня назад
Head of Data & AI Architecture (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Data & AI Architecture (Data Platforms/GenAI): Defining and evolving enterprise-scale data and AI architectures that power governed data products, analytics, machine learning, and merchant-centric payment solutions with an accent on cloud-native platforms, reusable architecture patterns, and responsible AI. Focus on designing MLOps/LLMOps, RAG, agentic AI, semantic-layer, and data product architectures while leading architecture governance and a high-performing team.
Location: Atlanta, Georgia, United States. The applicant must be authorized to work in the U.S. without employment-based visa sponsorship.
Company
provides payment technology and software solutions for credit, debit, prepaid, and merchant services.
What you will do
- Own and evolve the target-state Data & AI architecture, reference architectures, standards, and reusable design patterns.
- Architect governed data products, domain models, MDM, metadata, lineage, semantic layers, and reusable data assets.
- Design enterprise AI ecosystems covering feature stores, model development, MLOps, LLMOps, RAG, and agentic AI.
- Establish Data & AI Platforms as a Service with self-service capabilities, standardized tooling, and reusable components.
- Embed security, privacy, responsible AI, regulatory compliance, and PCI DSS requirements into architecture.
- Lead and mentor Data & AI architects, influence executive stakeholders, and drive modernization, governance, and adoption across a matrixed organization.
Requirements
- 12+ years of experience in data and technology architecture, including 5+ years leading enterprise-scale Data & AI architecture initiatives.
- Deep expertise in cloud data warehouses, lakehouses, streaming architectures, data modeling, domain-driven data products, and cloud-native services.
- Hands-on experience with AI/ML and GenAI solutions at scale, including MLOps, LLMOps, RAG, and agentic AI.
- Strong knowledge of data governance, security, privacy, regulatory compliance, PCI DSS, MDM, metadata management, lineage, and semantic layers.
- Bachelor’s degree in Computer Science, Engineering, or a related field required; an advanced degree is preferred.
- Proven experience leading architecture teams, enterprise transformation, technology governance, executive communications, and organizational change.
Nice to have
- Payments or fintech experience with sensitive financial and payment data.
- Experience with large-scale platform integrations, modernization, post-merger technology rationalization, data mesh, or federated governance.
- Cloud architecture or enterprise architecture certifications such as TOGAF.
- Experience leading globally distributed teams and establishing architecture Centers of Excellence or Communities of Practice.
Culture & Benefits
- Inclusive, global teams focused on collaboration, innovation, accountability, and continuous learning.
- Work within a large payments technology organization serving millions of cardholders, companies, and financial institutions.
- Opportunities to influence enterprise-wide data, AI, technology modernization, and investment decisions.
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