Principal Architect – Data & AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the technical delivery strategy on significant, multi-disciplinary projects encompassing data engineering, data visualization, data governance, and AI.

• Coordinate a cohesive solution strategy across capability leaders, addressing sequencing, dependencies, and shared standards.

• Take ownership of the structure, sequencing, staffing, and risk mitigation of work across projects.

• Proactively identify delivery risks and take corrective actions when projects deviate in approach, quality, or coherence.

• Drive the maturation of practices from assessment to the establishment of adopted standards.

• Create delivery standards, reusable accelerators, templates, engineering practices, and flexible delivery methodologies.

• Establish talent acquisition and engagement practices, which include interview standards, calibration, skills inventory, workforce visibility, and engagement health.

• Develop scoping and advisory frameworks that link delivery, presales, and the PMO.

• Create assessments for data and AI capabilities, learning pathways, and internal decisions informed by data practices.

• Utilize AI tools and agentic patterns to enhance the speed, consistency, and quality of consulting delivery.

• Assess the impact of AI on delivery economics and integrate proven methodologies into standards and accelerators.

• Mentor architects and consultants across various disciplines regarding delivery strategies, consulting judgment, and technical decision-making.

• Influence the priorities of technical leads when cross-practice coherence, engagement risk, or practice maturation necessitates it.

• Collaborate with Principal Architects from other delivery teams to ensure consistent delivery and ongoing improvement.

• Assist presales activities through scoping, effort modeling, technical strategy, and SOW contributions.

• Travel to SHI, partner, and customer locations and events as required.

⛳️ Requirements

• Bachelor’s degree in a relevant technical field, or equivalent professional experience.

• A minimum of ten years delivering enterprise data or AI solutions, including significant consulting or professional services experience.

• Expert-level proficiency in data engineering, data visualization, or data governance.

• Working knowledge in at least two of the following areas: data engineering, data visualization, and data governance.

• Experience in advancing a practice capability from assessment to established standards.

• Proven experience leading technical delivery across multiple disciplines on large or intricate projects.

• Practical experience in utilizing AI to transform delivery team operations, including measuring outcomes.

• Hands-on delivery experience within the Microsoft data and AI ecosystem, including Microsoft Fabric, Azure data services, Power BI, Microsoft Purview, Copilot Studio, or Microsoft Foundry.

• Exceptional facilitation, presentation, and stakeholder management skills, particularly with executive audiences.

• Capability to work effectively through influence rather than formal authority.

• Experience in supporting presales through scoping, effort modeling, technical strategies, and SOW contributions.

• Familiarity with DORA capabilities and their relevance to data and analytics delivery.

• Experience serving clients in regulated industries or the public sector.

• Relevant Microsoft certifications may include PL-300, DP-600, DP-700, DP-750, GH-300, GH-600, or AI-901.

• Willingness to travel to SHI, partner, and customer locations and events.

• Ability to work independently while collaborating with sales, delivery, engineering, and leadership teams.

• Dedication to ongoing learning across data, analytics, and AI platforms.

• Strong ethical standards and disciplined compliance with data privacy, governance, compliance, and security policies.

🏝️ Benefits

• Continuous professional development and leadership opportunities.

• Health, wellness, and financial benefits.

• Access to world-class facilities and technology necessary for success, whether in-office or remote.

• Medical insurance.

• Vision insurance.

• Dental insurance.

• 401K plan.

• Flexible spending options.

• Opportunity for remote work.

• Bonus included in estimated annual pay range.