Solutions Architect - Data Visualization

About this role

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.   Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy: • Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.

• Continuous professional growth and leadership opportunities.

• Health, wellness, and financial benefits to offer peace of mind to you and your family.

• World-class facilities and the technology you need to thrive – in our offices or yours. 

Job Summary

The Solutions Architect, Data Visualization is a lead technical and strategic advisor for enterprise business intelligence initiatives in client engagements. This role works directly with stakeholders, business leaders, analyst communities, and technical delivery teams to design and implement analytics solutions that people trust, understand, and use to make decisions.

The focus of this client-facing delivery role is enterprise data visualization, including semantic model architecture, reporting standards, human-centered design, accessibility, governed self-service enablement, performance optimization, and Power BI implementation at scale. The Solutions Architect defines the analytics approach, designs reporting and semantic architectures, leads customer engagements, and provides oversight throughout delivery of the visualization workstream. This role spans both technical leadership and hands-on-keyboard development.

This role also advises organizations on analytics readiness for modern data and AI platforms, including Microsoft Fabric and Power BI.

Role Description Data Visualization Strategy and Architecture • Act as a lead subject matter expert for enterprise data visualization, reporting architecture, human-centered design, and analytics adoption.

• Lead discovery workshops, analytics maturity assessments, roadmap engagements, and executive strategy sessions that establish what the organization needs to measure and why.

• Design enterprise reporting architectures including semantic model strategy, workspace and app structure, certification and endorsement models, reusability standards, and the boundaries of self-service enablement.

Power BI and Microsoft Fabric Solution Leadership • Architect and oversee implementation of Power BI solutions including semantic models, Power Query transformations, DAX calculation logic, composite and Direct Lake models, and performance optimization for large models and high user concurrency.

• Design row-level and object-level security models and workspace access architectures that serve internal and external audiences without fragmenting the reporting estate.

• Guide integration between Power BI and the broader data estate across Microsoft Fabric, OneLake, Azure Data Services, and upstream data engineering workstreams.

Customer Advisory and Analytics Enablement • Serve as a trusted advisor to executive stakeholders, business leaders, analyst communities, and technical teams.

• Translate business objectives and decision-making needs into scalable analytics solutions, including advising when a report is not the right answer to the question being asked.

• Lead design reviews and enablement activities that build client capability to sustain and extend the solution after the engagement ends.

Design Standards and Delivery Quality • Establish design and accessibility standards for enterprise reporting, including visual design systems, report templates, and interaction patterns that scale across multiple authors and align with WCAG 2 and Section 508 standards within platform capabilities.

• Define delivery quality practices for analytics workstreams, including semantic model review, performance testing, documentation, version control, and deployment pipelines.

• Contribute visualization accelerators and reusable delivery assets from engagement experience.

• Apply the practice's delivery standards and AI-accelerated delivery patterns on engagements and identify where adjustments are needed based on real-world client conditions.

AI Readiness • Advise organizations on analytics readiness for Microsoft 365 Copilot and AI-assisted reporting experiences.

• Assess semantic model quality, naming conventions, documentation, and metadata maturity required for AI-assisted analytics to return trustworthy answers.

Behaviors and Competencies This role is expected to demonstrate expert-level capability within data visualization and strong capability across the following areas: • Subject Matter Expertise: Recognized depth in semantic modeling, reporting architecture, and visualization design, with sufficient understanding of data engineering and governance to evaluate upstream constraints and identify risks in adjacent workstreams.

• Facilitation: Leads discovery and design sessions to a decision, including situations where stakeholders disagree on what should be measured or request reports that will not answer their business question.

• Communication: Explains modeling and design trade-offs to executive sponsors, business analysts, and technical teams while effectively tailoring messages for both technical and non-technical audiences.

• Relationship Management: Builds durable trust with business sponsors, analyst communities, and report consumers, including in environments where reporting has lost credibility.

• Collaboration: Works across delivery teams, data engineering groups, and client business units, treating sustained solution adoption as a measure of success rather than delivery of artifacts.

• Problem Solving: Diagnoses why reporting initiatives fail, including unclear decision-making requirements, untrusted data, ineffective design, or unsustainable model architecture, and

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