Senior Analytics Architect: AI‑Validated Dashboards

Rackspace Technology, Inc.; United States; Remote; USD 132,000 - 194,000; Full time

Job summary

Rackspace Technology, Inc. is seeking a senior analytics leader to architect and own end-to-end delivery of complex analytic solutions across multiple domains.

The role emphasizes mentoring analysts, designing semantic-layer dashboards, validating AI-generated insights, and partnering with senior stakeholders to translate needs into technical designs.

Candidates should have 9–12 years analytics experience and advanced SQL, Tableau/Power BI skills, with data-warehousing knowledge.

Qualifications

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

Analytics leadership

Dashboard design

SQL

Mentoring

AI prompt engineering

Education

Bachelor's degree in related field

Tools

Tableau

Power BI

Data warehousing

Job description

Rackspace Technology, Inc. is seeking a senior analytics leader to architect and own end-to-end delivery of complex analytic solutions across multiple domains.

The role emphasizes mentoring analysts, designing semantic-layer dashboards, validating AI-generated insights, and partnering with senior stakeholders to translate needs into technical designs.

Candidates should have 9–12 years analytics experience and advanced SQL, Tableau/Power BI skills, with data-warehousing knowledge.