Chief AI Officer - Groupe HARVEST - Paris - H/F

Role Overview

As our Chief AI Officer you will own the end-to-end integration of AI across both to enhance products and improve operational efficiency and look after existing models and dashboards. You will:

• Define and execute the company-wide AI strategy.
• Co-build roadmaps with Product Managers and steer discovery/delivery for AI-powered features.
• Identify, launch, and maintain internal AI and Data initiatives that lift productivity and quality.
• Grow and coach a multidisciplinary squad (AI Engineer, Data Analyst, Data Engineer).

Key Responsibilities

1. AI Product Strategy & Roadmapping

   Craft a clear AI vision aligned with company objectives and customer pain points. Translate vision into quarterly roadmaps.

   • Define success metrics, ROI models, and governance standards for AI features.
2. Discovery & Delivery Leadership

   Run discovery with customers, PMs and designers.

   • Write PRDs, user stories, and acceptance criteria for AI/ML services.
   • Lead the AI squads through agile rituals; de-risk delivery, control scope, and ensure model–product fit.
3. AI Operations & Enablement
   • Drive AI literacy: run workshops, mentor non-tech teams, and champion responsible‑AI guidelines.
   • Identify high‑value internal use cases and find solutions to tackle them.
4. Data & Analytics
   • Maintain existing dashboards and reports, make sure data is refreshed and correct.
   • Handle simple data requests from business teams, especially CST and Finance.
   • Prioritise and answer ad-hoc questions (KPIs, extractions, small analyses).
   • Coordinate with data engineer to keep data pipelines stable.
   • Help standardise key metrics and basic data definitions with stakeholders.
5. Team Management & Talent Development
   • Set objectives, give continuous feedback, and help your three direct reports grow their craft.
   • Foster a culture of experimentation, pragmatism, and ownership.
6. Stakeholder Management & Communication
   • Act as single point of contact for executives, sales, CSM, PM compliance on all things regarding AI.
   • Present roadmap progress, KPIs, and learnings in steering committees and board updates.

What You Bring

• 7+ years in product, data, or ML engineering roles, including 2+ years leading AI/ML products end-to-end in a SaaS or fintech environment.
• Master’s in Computer Science, Data Science, Engineering, or equivalent practical experience.
• Proven ability to translate business problems into model architectures and product experiences that ship.
• Knowledge of modern BI & ML stacks (Python, TensorFlow/PyTorch, LangChain, AWS /Azure, Tableau/ Power BI/ Metabase).
• Strong understanding of data engineering and AI fundamentals: pipelines, warehousing, governance, observability, LLMs, RAG, fine‑tuning.
• Leadership experience managing small, multidisciplinary teams and collaborating with execs.
• Excellent communication skills; able to switch from deep technical discussions to C‑level storytelling.
• Fluent in English.