About nAIxt Consulting / ILLUIN Technology

nAIxt Consulting is the consulting practice of ILLUIN Technology, a company founded in 2017 at the heart of CentraleSupélec, one of Europe's leading AI hubs. Specializing in applied AI in businesses (large corporations, public accounts, mid-sized companies, SMEs), ILLUIN is a pioneer in French-language NLP and conducts its own research in generative AI. Our consultants work immersed within the client's organization to deploy high-impact AI solutions (conversational assistants, document automation, data analysis), with an agnostic view of AI technologies (market solutions, Illuin products, tailor-made approaches).

The Role

We are looking for several Forward Deployed Strategists (FDS) to join our team. In this role, you will drive the integration strategy of AI solutions (from ad-hoc task automation to the Agentic vision), AI transformation adoption, and orchestration, in collaboration with Forward Deployed Engineers (FDEs). Immersed within the client's organization, you will bridge the gap between decision-makers, business units, and delivery teams to transform AI potential into real, measurable uses.

You will lead the AI transformation for a specific business scope. You will build the adoption strategy, orchestrate stakeholders (management, business units, IT, Data), and ensure measurable impact, from use case scoping to embedding new uses.

Your Missions

Strategy & Scoping

• Build and maintain the AI roadmap for a business scope

• Qualify and prioritize the portfolio of use cases based on value, feasibility, and risks

• Design target processes integrating AI and agents, and define human-AI interactions

• Build business cases and Go/No Go criteria with decision-makers

• Identify security, governance, and data quality prerequisites from the scoping phase

• Inform trade-offs between existing products and custom developments (Make vs. Buy)

Transformation Orchestration

• Engage in peer-level discussions with the Delivery Manager on progress, risks, and trade-offs between priorities/deadlines/scope

• Be capable of end-to-end project management for low-volume missions that do not justify a dedicated Delivery Manager

• Align management, business units, IT, and Data around shared objectives and a common plan

• Sequence deployments so that each use case reinforces the next

• Plan deployments, anticipate dependencies, and remove blockers

• Manage the scaling of pilots with ILLUIN delivery teams

• Prepare and lead steering committees (Coproj, Copil)

Adoption & Change Management

• Design the adoption strategy (training, communication, business relays, rituals)

• Build skill development plans

• Establish and facilitate AI ambassador networks within the client organization

• Identify resistance and implement appropriate responses

Impact & Measurement

• Define and track adoption and impact KPIs (usage rate, time saved, quality, operational savings)

• Measure results and present them to decision-makers in steering committees

• Implement user feedback and continuous improvement mechanisms

• Adjust the deployment trajectory based on field feedback

Firm Life

• Mentor and develop junior consultants on assignments

• Contribute to business development, proposals, and presentations

• Leverage lessons learned and enrich the firm's methodologies and playbooks

Profile Sought: Above all, you are passionate about AI and want to contribute to making it truly useful for businesses

Education

• Master's degree from an engineering school, business school, or university

• Specialization or further training in Data/AI and/or change management highly appreciated

Experience

• 3 to 7 years of experience, with at least 2 years on AI, data, or digital transformation projects

• You have supported at least 2 AI deployment projects end-to-end, from scoping to adoption

• You have previously prepared and led Project Management and steering committee meetings with decision-makers

• Experience in large enterprise or consulting firm contexts is highly desirable

• Fluent English is a plus

Tools & Technical Skills

• Sufficient AI fundamentals (LLM, RAG, agents) to assess feasibility and communicate with Data Scientists

• Construction of quantified business cases and prioritization matrices

• Building and presenting dashboards (Tableau, PowerBI, Looker)

• Good understanding of data, governance, security, and AI ethics issues

• General understanding of cloud architectures (AWS, GCP, Azure)

• Basic project management knowledge (planning, milestones, risk management, Agile methods) sufficient to communicate with a Delivery Manager and, if necessary, manage a smaller project alone

Key Skills

• Ability to engage stakeholders with sometimes divergent interests

• Data storytelling: you present quantified results convincingly to decision-makers

• Ability to navigate ambiguity in large organizations

• Active AI monitoring: you integrate market developments into your recommendations

• Results-oriented: you seek impact before producing deliverables
  

Contacts

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