AI & Data Lead - Groupe HARVEST - Paris - H/F

Harvest Groupe; Paris; Sur place; EUR 100 000 - 140 000; Plein temps

Résumé du poste

Harvest Groupe seeks an AI & Data Lead to own end-to-end AI integration across products and operations, oversee model and dashboard ecosystems, and drive productivity gains. You will shape strategy, co-create roadmaps with Product Managers, and mentor a multidisciplinary team including AI Engineers, Data Analysts, and Data Engineers.

You will lead discovery with customers and designers, write PRDs and acceptance criteria, and establish governance, metrics, and ROI for AI features.

Qualifications

• 7+ years in product, data, or ML engineering roles.
• Master’s in Computer Science, Data Science, Engineering, or equivalent experience.
• Proven ability to translate business problems into model architectures and product experiences that ship.

Responsabilités

• AI Product Strategy & Roadmapping: craft a clear AI vision aligned with objectives and customer pain points.
• Discovery & Delivery Leadership: run discovery with customers, PMs and designers; write PRDs and acceptance criteria.
• AI Operations & Enablement: drive AI literacy, mentor non-tech teams, and champion responsible-AI guidelines.
• Data & Analytics: maintain dashboards, ensure data quality and respond to ad-hoc analyses.

Connaissances

AI product leadership

AI/ML engineering

Data engineering

BI & ML stacks

Leadership

Communication

English fluency

Formation

Master’s in CS/DS/Engineering

Outils

TensorFlow

PyTorch

LangChain

AWS

Azure

Tableau

Power BI

Metabase

Description du poste

Role Overview

As our AI & Data Lead 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).

Role Overview

As our AI & Data Lead 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.

Profil Recherché

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