- Company Name
- Talan - France
- Job Title
- Manager / Manager Senior - Data, IA & IA Générative (H/F)
- Job Description
-
**Job Title**
Senior Manager – Data, AI & Generative AI
**Role Summary**
Lead and deliver strategic data and AI projects for enterprise clients, driving transformation through high‑value use cases, governance, and platform implementation. Serve as a senior advisor to C‑level executives while expanding the organization’s data and AI service portfolio.
**Expectations**
- Oversee multi‑domain, large‑scale projects from audit to delivery.
- Provide thought leadership and commercial support for consulting practices.
- Mentor and grow consulting teams at all levels.
**Key Responsibilities**
- Design and execute data & AI strategies, including governance, compliance, and risk frameworks.
- Lead development, architecture, and deployment of data/AI platforms (cloud‑native, MLOps).
- Identify, prioritize, and deliver high‑impact AI and Generative AI use cases (LLMs, fine‑tuning, RAG).
- Guide technology selection and integration of market‑leading solutions.
- Advise senior executives (CDO, CIO, CEO) on strategic data & AI initiatives.
- Drive change management, innovation, and intrapreneurial initiatives within client organizations and the firm.
- Contribute to business development activities: pre‑sales, RFP responses, industry engagements.
- Participate in internal strategy, technology scouting and partnership formation.
**Required Skills**
- Minimum 8 years of data & AI experience, with significant consulting exposure.
- Expertise in data strategy, governance, and enterprise architecture.
- Deep knowledge of modern data platforms and cloud services (AWS, Azure, GCP).
- Advanced proficiency in AI/ML technologies: LLMs, fine‑tuning, Retrieval‑Augmented Generation, MLOps pipelines.
- Proven leadership, stakeholder engagement, and advisory skills at C‑level.
- Strong change‑management, innovation, and intrapreneurial capabilities.
- Professional working fluency in English (written & spoken).
**Required Education & Certifications**
- Engineering School, Business School, or Master’s degree (M2) from an accredited university (e.g., Computer Science, Data Science, Economics).
- Additional certifications in cloud (AWS, Azure, GCP) or AI/ML domains are advantageous.