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CDI - Manager AI Strategist - Paris

Artefactjobs
Contract type
Ongoing
Work mode
Remote · 9th arrondissement of Paris, 75009, Paris
Experience
Senior · 5+ years

Job description

As an AI Strategist Manager, you lead AI strategy and transformation engagements for large corporate clients, from vision and business cases to hands-on prototypes, while growing consultants and developing accounts.

At a glance

Employment
Full-time · Employee (employment agreement)
Work mode
Remote · 9th arrondissement of Paris, 75009, Paris
Languages
French – fluent, English – fluent
Pay
EUR 66,000 – 75,000 / year

What you'll do

  • Define the AI vision and a prioritized roadmap of use cases, challenging relevance and making trade-offs
  • Lead end-to-end business process redesigns, thinking lean before deploying AI
  • Design the target operating model and secure its success conditions
  • Design and lead the engagement's analysis work, including business cases, and review the team's work
  • Rapidly prototype use cases to demonstrate value through demos
  • Run engagements day to day, splitting them into streams and anticipating risks
  • Produce C-suite level deliverables and executive summaries autonomously
  • Orchestrate Engineering teams for technical feasibility and AI Adoption teams for adoption
  • Act as trusted advisor to business directors and Comex-1 project leaders, mapping stakeholder dynamics
  • Detect new needs, build the account development plan and proactively trigger proposals
  • Manage and grow junior and senior consultants, act as counsellor and take part in recruiting
  • Contribute to the internal knowledge base and run internal training sessions

What we're looking for

  • 5 to 8 years of experience in a strategy, management or data/AI transformation consulting firm
  • Bachelor's or master's degree from an academic course of excellence
  • Experience leading complex engagements from vision to results, with business cases that withstand Comex scrutiny
  • Solid understanding of operational AI issues (generative and agentic AI, governance, business use cases) and ability to explain them simply
  • Experience leading business process redesign projects with proven mastery of certain business processes
  • Experience in business development (proposals, account development, relationships with senior decision-makers)
  • Experience managing a team of consultants, with a taste for growing, delegating and raising the team's level
  • Maker mindset: comfortable with current tech tools and able to rapidly prototype functional demos (low-code, no-code, agentic tools)
  • Fluent in French and English, spoken and written

Your team

AI Strategy

Works hand in hand with Engineering teams (who build and deliver agentic AI solutions) and AI Adoption teams (who drive adoption).

Benefits

  • Go from strategy to delivery, helping design and realize AI solutions for real business challenges
  • A role at the crossroads of strategy, technology and people
  • End-to-end AI transformation engagements with real autonomy, a team to grow and accounts to develop
  • A clear path to Senior Manager then Director, in a continuous learning environment

How to get hired

  1. 1HR fit interview (45') with HR / Talent Acquisition
  2. 2AI-driven business case (60') with a Senior Manager or Director AI Strategist
  3. 3Hands-on AI prototyping business case (60') with a Senior Manager or Director AI Strategist
  4. 4AI Strategist Manager role play (45'-60') with a Director or Partner AI Strategist
  5. 5Final fit interview (30') with an AI Strategist Partner or Managing Partner

Apply

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About Artefact

We Make AI Work

A consulting firm specialized in data and artificial intelligence, at the crossroads of consulting, data and technology, with 2,500 employees in 27 countries.

Mission

Help companies turn data and artificial intelligence into concrete, measurable business impact

Key facts

  • 2 500 collaborateurs
  • Data & AI consulting
  • 2,500 employees across 27 countries
  • Covers the full value chain: AI Strategy, Engineering and AI Adoption

What they value

  • Makers who make AI work at scale rather than comment on it
  • Continuous learning focused on knowledge sharing and technological pragmatism
  • Commitment to an inclusive environment and equal opportunities