Principal Consultant, Analytics & AI Governance

Position Overview

As the Principal Consultant, Analytics & AI Governance, you will help organizations establish governance frameworks that enable trusted, scalable adoption of analytics, automation, and AI across the enterprise. This senior individual‑contributor role requires a blend of business acumen, change leadership, and technical expertise to partner with business leaders, analytics teams, data stakeholders, and IT organizations to design governance operating models that balance innovation with risk management while accelerating value realization.

Remote‑friendly with a requirement to travel up to 10% of the time.

• Design enterprise governance strategies that empower organizations to scale analytics, automation, and AI while maintaining trust, accountability, compliance, and business agility.
• Define governance operating models, roles, responsibilities, decision rights, and accountability structures across business, analytics, data, and technology teams.
• Establish governance processes that balance centralized oversight with business‑user self‑service and innovation.
• Advise customers on governance strategies that accelerate adoption, increase asset reuse, improve trust in analytics, and reduce operational risk.
• Help customers build and evolve Centers of Excellence (CoEs), governance councils, stewardship models, and champion networks that drive sustainable adoption and business value.
• Advise on responsible AI practices, including transparency, explainability, model oversight, risk management, human‑in‑the‑loop processes, and AI policy development.
• Develop governance approaches for generative AI, machine learning, AI‑powered applications, and agentic workflows that align with organizational objectives and regulatory requirements.
• Facilitate discussions around AI readiness, AI operating models, AI risk management, and organizational capabilities required to scale AI successfully.
• Design frameworks for AI inventory management, usage monitoring, performance measurement, business impact tracking, and governance effectiveness.
• Guide customers in establishing governance controls that enable innovation while ensuring appropriate oversight and accountability.
• Enable business teams to safely leverage analytics, automation, and AI through scalable guardrails, standards, governance policies, and best practices.
• Design content lifecycle, certification, stewardship, ownership, and asset management models that promote trust, discoverability, and reuse.
• Partner with business leaders to define adoption strategies, governance KPIs, success metrics, and value realization frameworks.
• Lead governance transformation initiatives that improve both user empowerment and organizational control.
• Develop change management and stakeholder engagement approaches that drive governance adoption and organizational alignment.
• Lead governance, operating model, and AI strategy workshops with business stakeholders, analytics leaders, platform owners, and technology teams.
• Facilitate alignment across business, data, analytics, compliance, and IT stakeholders to establish scalable governance practices.
• Assess organizational maturity and develop practical roadmaps for governance evolution, AI enablement, and self‑service adoption.
• Guide customers in defining governance structures, roles, responsibilities, and operating models that support business objectives.
• Provide strategic recommendations that help customers accelerate adoption while managing operational, compliance, and organizational risks.
• Present governance findings, maturity assessments, and recommendations to customer leadership teams and key stakeholders.
• Author governance frameworks, maturity assessments, implementation playbooks, and reusable delivery assets.
• Define and evolve Alteryx’s governance practice methodologies, delivery approaches, maturity models, and service offerings.
• Create reusable governance accelerators, assessments, implementation playbooks, workshop materials, and delivery assets.
• Establish best practices for analytics governance, automation governance, AI governance, and self‑service enablement.
• Mentor consultants, solution architects, and…