- Company Name
- Saegus
- Job Title
- Manager Data & IA
- Job Description
-
**Job Title:**
Data & AI Manager
**Role Summary:**
Lead the Smart Data team to help clients leverage cutting‑edge data and generative AI technologies. Drive consulting engagements from strategy formulation to solution delivery, foster a data‑centric culture, and expand the firm’s Data & AI service offering.
**Expectations:**
- Minimum 7 years of data‑focused consulting experience, preferably in a consulting firm.
- Proven ability to manage and develop multidisciplinary teams.
- Deep technical expertise in AI/GenAI models and cloud‑based data platforms.
- Fluent in French and English with strong client‑facing and business development skills.
- Passion for emerging technologies and user‑centric solutions.
**Key Responsibilities:**
- Manage and up‑skill a team of data scientists, ML engineers, GenAI specialists, data engineers, and architects.
- Lead end‑to‑end consulting projects: data strategy, organization, processes, and roadmap definition.
- Design and oversee AI/GenAI architecture and orchestration, selecting open‑source and cloud services (AWS, GCP, Azure, Snowflake, etc.).
- Define and implement data governance models and data‑quality frameworks.
- Drive client relationship management and growth of the Data & AI practice.
- Participate in pre‑sales activities and deliver solutions for large private and public sector clients.
- Promote agile methodologies and collaborative tools (e.g., Miro, Jira, Trello).
**Required Skills:**
- Programming: Python, SQL; familiarity with additional languages a plus.
- Cloud platforms: AWS, GCP, Azure, Snowflake.
- Foundation models: OpenAI GPT, PaLM, Bloomz, Titan, LLaMA, Mistral, etc.
- GenAI orchestration: LangChain, AutoGen, or similar frameworks.
- Machine/Deep Learning, Computer Vision, audio processing, AI solutions (virtual agents, RPA, intelligent case handling).
- Strong understanding of AI/ML product lifecycle and UX principles.
- Agile project management and collaboration tools.
- Excellent communication, stakeholder management, and leadership abilities.
**Required Education & Certifications:**
- Degree from a leading engineering school, business school, or a PhD in a Data/AI‑related discipline.
- Certifications in cloud platforms, data engineering, or AI/ML are advantageous (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, Azure AI Engineer).