Remote Data & AI Delivery Architect

SHI; Baton Rouge (LA); Remote; USD 200,000 - 250,000; Full time

Benefits offered by this job

Diversity commitment

Growth opportunities

Health, wellness, and financial safety

World-class facilities and technology

Job summary

SHI is seeking a Principal Architect to orchestrate multi-disciplinary delivery across data engineering, visualization, governance, and AI. You will lead cross-capability teams, set delivery standards, and drive practice maturation with reusable accelerators and engineering practices.

The role emphasizes talent management, structured advisory frameworks, and the application of AI tooling to improve delivery speed, quality, and consistency across engagements.

Qualifications

• Bachelor’s degree in a related technical field or equivalent professional experience.
• Ten or more years delivering enterprise data or AI solutions, including consulting or professional services experience.
• Expert-level depth in one data discipline (data engineering, visualization, or governance) with working proficiency in others.

Responsibilities

• Lead the technical delivery approach on large, multi-disciplinary engagements spanning data engineering, data visualization, data governance, and AI.
• Orchestrate a unified solution approach across capability leads, integrating each discipline’s direction into a coherent delivery plan.
• Own delivery structure, sequencing, staffing, and risk management across workstreams.
• Influence engagement quality and coherence by identifying delivery risks early.

Skills

Data engineering

Data visualization

Data governance

AI solutions

Ten+ years experience

Education

Bachelor’s degree in a technical field

Tools

Microsoft Fabric

Azure data services

Power BI

Microsoft Purview

Copilot Studio

Microsoft Foundry

Job description

SHI is seeking a Principal Architect to orchestrate multi-disciplinary delivery across data engineering, visualization, governance, and AI. You will lead cross-capability teams, set delivery standards, and drive practice maturation with reusable accelerators and engineering practices.

The role emphasizes talent management, structured advisory frameworks, and the application of AI tooling to improve delivery speed, quality, and consistency across engagements.