Agentic Principal Lead Consultant

Client is building an AI-native operating model across every function (Go-To-Market, Tech, Finance, HR/Legal, and Services). The role reports to the Head of AI Transformation and works directly across all internal functions to land AI in real workflows, not just in demos. 

• Partner with leaders across Finance/RevOps, Go-To-Market, Services, HR/Legal, and Engineering to identify the highest-leverage opportunities to embed AI into real operating workflows (not one-off demos).
• Facilitate discovery: map current-state processes, quantify pain points, define “good” outcomes, and translate ambiguous needs into clear workflow requirements and success metrics.
• Build and maintain an AI workflow roadmap sequenced by business impact, readiness, and change capacity; align priorities with function leaders and the AI Transformation team.
• Drive build-versus-buy assessments for each opportunity (SaaS tools, platforms, automation solutions), delivering a clear recommendation and implementation approach.
• Lead change management and enablement: run working sessions, produce playbooks, host trainings/brown bags, and coach teams to raise AI literacy and sustained adoption.
• Create reusable patterns and standards for “AI in internal tools” (workflow templates, governance checklists, measurement frameworks) so other teams can move faster.
• Establish operational guardrails for AI-enabled workflows in partnership with Security, Legal, and Compliance (data handling, PII safety, access controls, prompt injection resilience, human-in-the-loop requirements).
• Define evaluation and monitoring expectations for workflows (accuracy/quality, safety, cost, latency, adoption); implement feedback loops so workflows improve over time.

• 6+ years of experience in internal consulting, business operations, business systems, product operations, solutions architecture, or an equivalent role that sits at the intersection of business and technology.
• Must have software-engineering experience, including 4+ years shipping internal AI-native tools to production.
• Must have experience standing up an internal AI program, workflow automation COE, or “AI for employees” capability at a prior company.
• Experience in B2B SaaS, enterprise workflows, and/or regulated or high-compliance environments (privacy, security, auditability).
• Strong stakeholder management: comfortable influencing across functions, aligning senior leaders, and driving decisions amid competing priorities.
• Ability to translate business problems into structured requirements, operating metrics, and phased delivery plans.
• AI fluency: understanding of how LLM-based systems work (prompting, retrieval, tool use/function calling at a conceptual level) and how to evaluate quality, risk, and cost/latency trade-offs.
• Experience evaluating and implementing software solutions (build vs buy), including vendor assessment, security reviews, rollout planning, and ongoing ownership models.
• Comfort working with technical teams and artifacts (PRDs/briefs, user stories, acceptance criteria, basic data models). Ability to prototype in low-code/no-code tools is a must.
• Strong analytical and measurement skills: can baseline, instrument, and report outcomes; can distinguish adoption activity from true impact.
• Excellent written and verbal communication: can create crisp briefs, run effective workshops, and communicate trade-offs to both technical and non-technical audiences.
• High ownership and bias to action; thrives in fast-moving SaaS environments with evolving AI tooling.
• Bachelor’s degree in a related field (Business, Information Systems, Engineering, Computer Science) or equivalent practical experience.