AI Architect

Job Title: GenAI Architect and Analytics

Location : Minneapolis, MN (Hybrid Onsite Role-3 Days Onsite Per Week)

Duration : 12 Months Contract or Fulltime

Teams Meeting Interview

Job Description:

The Analytics & GenAI Architect is responsible for designing and governing enterprise-grade, AI-enabled analytics solutions for reporting and advanced analytics. This role bridges traditional enterprise reporting/BI with GenAI-powered experiences (e.g., conversational BI, insight assistance, governed Q&A over KPIs).

Key Responsibilities

1) End-to-End Architecture for AI-enabled Analytics

• Define solution architectures for Vector 1 use cases spanning data ingestion, analytics modeling, semantic layers, BI consumption, and GenAI interaction patterns
• Design conversational analytics patterns that reliably answer business questions using governed KPIs and approved datasets
• Establish architecture guardrails for accuracy, latency, security, and scale across multiple use cases/pods

2) Semantic Layer, KPIs, and Enterprise Metrics Strategy

• Lead the design of enterprise semantic models (metrics, dimensions, business definitions) that drive consistent results across dashboards and GenAI responses
• Define “single version of truth” principles across reporting assets and GenAI experiences
• Partner with BI teams to ensure semantic definitions are reusable and auditable

3) GenAI Design Patterns for Structured Analytics (Non-ML Heavy)

• Define and standardize analytics-focused GenAI patterns such as:
• Prompt/context grounding for KPI and reporting queries
• Tool/function calling patterns to retrieve verified data (e.g., BI tools, SQL, APIs)
• Response validation patterns to reduce hallucinations and ensure explainability
• Guide GenAI engineers in designing reliable conversational BI experiences and “explain my report” workflows aligned with enterprise analytics

4) Data Readiness, Governance & Responsible AI

• Partner with governance teams to ensure data is AI-ready (quality, metadata, lineage, access control)
• Define Responsible AI guardrails and operational standards (traceability, transparency, auditability, policy-aligned access)
• Ensure GenAI insights remain consistent with enterprise reporting outputs and data policies

5) Cross-Functional Leadership & Delivery Enablement

• Act as the technical authority for Vector 1 delivery pods and guide design decisions across teams
• Build reference assets: architecture blueprints, design checklists, reusable components, and standards
• Support use-case shaping with program and business leads, ensuring feasibility and high-value sequencing (consistent with Vector 1 periodization approach)

Required Qualifications

• 10 years of experience in enterprise analytics / data / BI architecture roles
• Strong background in analytics data modeling, KPI frameworks, and semantic layer design
• Proven ability to design or govern large-scale reporting and analytics platforms
• Hands-on understanding of applying GenAI to analytics workflows (conversational BI / report Q&A / insight assistance)
• Strong stakeholder management experience: ability to translate business questions into scalable technical designs