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
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.
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.
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
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.
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.
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