Senior Analytics Architect & AI Insight Lead

Rackspace US, Inc.; United States; On-site; USD 132,000 - 194,000; Full time

Benefits offered by this job

Employee Stock Purchase Plan

Equity awards

Annual bonus

Job summary

Rackspace Technology is seeking an analytics leader to own end-to-end delivery of complex analytic solutions and semantic-layer views across multiple domains. You will architect dashboards, mentor analysts, and partner with senior business and clinical stakeholders to translate needs into technical designs.

You will validate AI-generated insights, design guardrails for AI copilots, and lead design reviews. The role requires a strong SQL/data warehousing background and a track record of project

Qualifications

• Bachelor's degree in Health Science, Computer Science, Math, Business, or related field, or equivalent experience.
• 9-12 years of experience in analytics, with significant project ownership.
• 4–6 years hands-on building and optimizing dashboards/analytic solutions.
• 1+ year informally mentoring analysts.

Responsibilities

• Architect and own end-to-end delivery of complex analytic solutions and semantic-layer views spanning multiple domains.
• Lead design reviews for dashboards/analytics; mentor junior/mid analysts on best practices, including safe use of AI copilots.
• Contribute to and help enforce data-validation and QA standards for the team.
• Own validation processes for AI-generated insights/narratives before they reach stakeholders.
• Partner directly with senior business/clinical stakeholders to translate ambiguous needs into technical designs.
• Build and support natural-language query interfaces on the semantic layer for broader self-service use.

Skills

Advanced SQL and dashboard arch.

Semantic-layer views

Cross-domain analytics

AI prompt engineering

Mentoring analysts

Education

Bachelor's degree in Health Science, Computer Science, Math, Business, or related field, or equivalent experience.

Job description

Rackspace Technology is seeking an analytics leader to own end-to-end delivery of complex analytic solutions and semantic-layer views across multiple domains. You will architect dashboards, mentor analysts, and partner with senior business and clinical stakeholders to translate needs into technical designs.

You will validate AI-generated insights, design guardrails for AI copilots, and lead design reviews. The role requires a strong SQL/data warehousing background and a track record of project