Enterprise Data Architect (AI)

TL;DR

Enterprise Data Architect (AI): Shaping the design, delivery, and operation of capabilities that help hirify.global get the most from its data. Focus on establishing clear direction, practical standards, and measurable outcomes that improve speed to value, stability, compliance readiness, and cost control.

Location: Remote - Nationwide

Salary: $151,800.00 - $220,050.00

Company

hirify.global transforms financial lives by giving people the freedom to transform their own, with a flexible work environment and fluid career paths.

What you will do

• Define and maintain enterprise target architectures and roadmaps for advanced analytics capabilities.
• Establish reference architectures, standards, and reusable patterns for data, analytics, and machine learning solutions that teams can adopt consistently.
• Translate modeling approaches into production-ready designs, ensuring smooth paths from experimentation to operational use.
• Ensure machine learning solutions are designed for production use, including scalability, reliability, monitoring, and maintainability.
• Drive simplification and modernization by reducing duplicated tooling and inconsistent practices across data, analytics, and machine learning solutions.

Requirements

• 15 years of hands-on experience delivering machine learning and advanced analytics solutions, with a strong understanding of how models are developed, evaluated, deployed, and supported in real business environments.
• 7+ years of experience creating solution architectures and strategies across multiple architecture domains.
• Proven experience working directly with data scientists and model developers, translating modeling needs into scalable, supportable, and secure implementation approaches.
• Hands-on experience with at least one modern analytics or machine learning platform such as Snowflake, Databricks, SAS, Amazon SageMaker, Dataiku, or equivalent.
• Cloud experience designing or deploying data and analytics solutions on a major cloud platform.
• For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet.

Nice to have

• Experience in financial services, wealth management, retirement services, or another regulated industry.
• Experience setting enterprise-wide patterns or standards for ML, analytics, or data platforms.
• Relevant cloud certifications or formal training in cloud architecture, data engineering, analytics, or machine learning.

Culture & Benefits

• Medical, dental, vision and life insurance.
• Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup.
• Tuition reimbursement up to $5,250/year.
• Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year.
• Paid volunteer time — 16 hours per calendar year.