Sr Staff Analytics Architect (AI)

Location: Hybrid in Bellevue, Chicago, Carpinteria, Detroit, New York City, Omaha, Sunnyvale, San Francisco, or Washington, D.C. The role is performed from home and a LinkedIn office on select days.

Salary: $148,000–$243,000 per year, plus potential annual performance bonus, stock, benefits, and other incentive compensation.

Company

hirify.global is presented as a professional network company creating economic opportunities through connections, skills development, and workforce insights.

What you will do

• Define target-state architecture for enterprise People Analytics platforms, data products, semantic models, APIs, business intelligence, and AI capabilities.
• Design certified metric frameworks, dimensional and semantic models, conformed dimensions, data certification processes, and governance controls.
• Establish scalable architecture patterns for self-service reporting, analytics platforms, APIs, machine learning models, and AI applications.
• Create technical specifications, logical data models, source-to-target mappings, reference architectures, integration patterns, security frameworks, and implementation standards.
• Define standards for metadata, data lineage, data quality, observability, master data management, access controls, auditability, and responsible AI.
• Lead architecture reviews, evaluate trade-offs, align technical and business stakeholders, and influence strategy across multiple teams without direct management responsibility.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Analytics, or a related technical field, or equivalent practical experience.
• At least 12 years of experience in data architecture, analytics architecture, data engineering, data platforms, or related technical disciplines.
• Experience architecting enterprise-scale data ecosystems from source systems through analytics, reporting, and downstream consumption layers.
• Strong experience with cloud data platforms, lakehouse architectures, modern analytics ecosystems, and dimensional, relational, semantic, canonical, and master data models.
• Experience developing architecture standards and governance frameworks, evaluating technical trade-offs, and partnering with engineering, analytics, product, governance, and business stakeholders.
• Must be based in one of the listed U.S. locations and work in a hybrid arrangement.

Nice to have

• Experience with Databricks, Unity Catalog, Bronze/Silver/Gold architectures, metadata management, data lineage, data quality, observability, and master data management.
• Experience with Power BI, Visier, or similar enterprise analytics and reporting platforms.
• Experience supporting statistical, predictive, or machine learning workloads in production.
• Experience with AI and generative AI architectures, including retrieval-augmented generation, vector databases, knowledge graphs, agent-based systems, and AI governance.
• Experience with regulated or sensitive data environments, HR or workforce analytics, or Workday data ecosystems.

Culture & Benefits

• Hybrid work structured around collaboration, connection, clarity, and business needs.
• Potential annual performance bonus, stock, benefits, and other incentive compensation.
• Commitment to trust, inclusion, accessibility, equal opportunity, and employee growth.
• Reasonable accommodations are available throughout the hiring process.