AI & Data Consulting Lead

Artefact North America; New York (NY); On-site; USD 140,000 - 160,000; Full time

Benefits offered by this job

401(k) with company matching

Unlimited PTO

Medical, dental, vision coverage

Paid parental leave

Job summary

Artefact North America is seeking an AI & Data Consulting Manager to lead end-to-end client engagements, mentor teams, and build with AI. You will structure plans, deliver executive summaries, and ensure high-quality outputs while expanding client relationships in a fast-growing US practice.

You'll prototype using Claude Code, Gemini CLI, Codex, and related tools to translate complex needs into actionable data and AI strategies, guiding teams across the AI stack in a hybrid work environment.

Qualifications

• 5–7 years of full-time, client-facing work experience in consulting, technology, media, or a related field.
• Proven experience managing projects and small teams autonomously in a client environment.
• Demonstrated AI literacy as a builder: daily use of AI tools for real work, and hands-on experience prototyping with agentic coding tools (Claude Code, Gemini CLI, Codex, or similar).
• Comfort in the terminal and with modern AI workflows, with the judgment to verify what AI produces.
• Working knowledge of at least one AI platform ecosystem — Google (Gemini), Anthropic (Claude), or OpenAI — and core GenAI concepts (RAG, agents, context engineering).
• Excellent communication skills: C-level-ready writing and presence, structured storytelling, and precise feedback.
• An entrepreneurial mindset and a conviction that decisions should be made with facts and data.

Responsibilities

• Manage projects end to end: structure sub-streams, distribute work fairly, set team OKRs, and give sponsors clear visibility.
• Build robust plans that anticipate deadlines, delays, and risks — and communicate them before they become surprises.
• Structure mission deliverables: write C-level executive summaries autonomously and build presentation storylines with partner support.
• Hold Artefact's quality bar on everything that leaves the team.
• Your recommendations are grounded in hands-on understanding of the AI stack.
• Define client needs through interviews with client teams and technology partners, and translate them into strategic data and AI recommendations.
• Prototype with AI tools — agentic coding tools like Claude Code, Gemini CLI, or Codex — to test feasibility and make ideas tangible in workshops and steering committees.
• Understand context engineering well enough to shape how clients connect AI to their data, documents, and systems (RAG, semantic layers, MCP).
• Maintain specialization in at least one AI platform ecosystem — Google (Gemini), Anthropic (Claude), or OpenAI — and keep it current.
• Make the people under your influence progress.
• Give precise, actionable feedback on analyses, decks, and client behavior.
• Set SMART objectives, run proper evaluations, and keep the team engaged.
• Coach consultants on AI-native ways of working: which tools, when, and how to verify what they produce.
• Mentor juniors and seniors toward autonomy.
• You will maximize client satisfaction and help expand the relationship.
• Build the client development strategy with the partner; detect needs and shape farming proposals.
• Maximize client NPS through delivery quality and relationship care.
• Pitch Artefact: contribute to new business proposals and content development (research, articles, business cases).

Skills

Project management

Client relationship

AI literacy

Prototype with AI tools

Team leadership

C-level communication

Education

Undergraduate degree

Tools

Claude Code

Gemini CLI

Codex

Job description

Artefact North America is seeking an AI & Data Consulting Manager to lead end-to-end client engagements, mentor teams, and build with AI. You will structure plans, deliver executive summaries, and ensure high-quality outputs while expanding client relationships in a fast-growing US practice.

You'll prototype using Claude Code, Gemini CLI, Codex, and related tools to translate complex needs into actionable data and AI strategies, guiding teams across the AI stack in a hybrid work environment.