Machine Learning & Analytics Enterprise Architect (AI)

TL;DR

Machine Learning & Analytics Enterprise Architect (AI): Shaping how hirify.global designs, delivers, and operates data science, machine learning, advanced analytics, business intelligence, and data delivery capabilities with an accent on practical standards and reusable patterns. Focus on improving speed to value, stability, compliance readiness, and cost control.

Location: Remote - Nationwide Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.

Salary: $151,800.00 - $220,050.00

Company

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own.

What you will do

• Define and maintain enterprise target architectures and roadmaps for advanced analytics, machine learning, business intelligence, and data delivery capabilities.
• Establish reference architectures, standards, and reusable patterns for data, analytics, and machine learning solutions that teams can adopt consistently.
• Partner with data scientists and model developers to translate modeling approaches into production-ready designs.
• Provide architectural direction for analytics and reporting capabilities.
• Provide leadership for data platforms and pipelines, including guidance on integration patterns, reusable components, automation, and operational resilience.
• Collaborate with security, privacy, and risk stakeholders to ensure data and analytics solutions incorporate appropriate controls, traceability, and compliance readiness.

Requirements

• 15+ years of experience in solution development and delivery, including deep hands-on delivery of machine learning and advanced analytics solutions
• 7+ years of architecture experience , including defining and maintaining enterprise target architectures and roadmaps.
• Working knowledge of common data science practices.
• 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.
• Bachelor’s and/or master’s degree in data science or related field (computer science, information systems, mathematics, statistics, software engineering, etc.).

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.
• Experience with more than one modern analytics or machine learning platform.
• Familiarity with controls relevant to data, analytics, and ML including privacy, access management, auditability, and operational accountability.
• 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.
• Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)